- published: 07 Jun 2019
- views: 4
Building (mathematics)
In mathematics, a building (also Tits building, Bruhat–Tits building, named after François Bruhat and Jacques Tits) is a combinatorial and geometric structure which simultaneously generalizes certain aspects of flag manifolds, finite projective planes, and Riemannian symmetric spaces. Initially introduced by Jacques Tits as a means to understand the structure of exceptional groups of Lie type, the theory has also been used to study the geometry and topology of homogeneous spaces of p-adic Lie groups and their discrete subgroups of symmetries, in the same way that trees have been used to study free groups.
Overview
The notion of a building was invented by Jacques Tits as a means of describing simple algebraic groups over an arbitrary field. Tits demonstrated how to every such group G one can associate a simplicial complex Δ = Δ(G) with an action of G, called the spherical building of G. The group G imposes very strong combinatorial regularity conditions on the complexes Δ that can arise in this fashion. By treating these conditions as axioms for a class of simplicial complexes, Tits arrived at his first definition of a building. A part of the data defining a building Δ is a Coxeter group W, which determines a highly symmetrical simplicial complex Σ = Σ(W,S), called the Coxeter complex. A building Δ is glued together from multiple copies of Σ, called its apartments, in a certain regular fashion. When W is a finite Coxeter group, the Coxeter complex is a topological sphere, and the corresponding buildings are said to be of spherical type. When W is an affine Weyl group, the Coxeter complex is a subdivision of the affine plane and one speaks of affine, or Euclidean, buildings. An affine building of type 
is the same as an infinite tree without terminal vertices.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Building_(mathematics)
Building (disambiguation)
A building is a constructed object intended for occupancy by humans or animals.
Building may also refer to:
See also
- Structure & Nonbuilding structure
- Architectural structure, a man-made structure used or intended for supporting or sheltering any use or continuous occupancy
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Building_(disambiguation)
Online creation
Online creation, also referred to as OLC, online coding, online building, and online editing, is a software feature of MUDs that allows users to edit a virtual world from within the game itself. In the absence of online creation, content is created in a text editor or level editor, and the program generally requires a restart in order to implement the changes.
Online creation as original content
An aspect of online creation that separates it from "mere game play" is that online creation systems can generally be used to create new content — new objects, new locations, new creatures — rather than simply creating instances of predefined items in the game world. Some have observed that certain forms of online creation — notably those associated with creating new commands — can threaten the stability of the server.
History
Origins
The first publicly available MUD that featured in-game creation of the game world was Skrenta's 1988 Monster.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Online_creation
Football League Two
Football League Two (often referred to as League Two for short or Sky Bet League 2 for sponsorship reasons) is the third-highest division of The Football League and fourth-highest division overall in the English football league system.
Football League Two was introduced for the 2004–05 season. It was previously known as the Football League Third Division. Before the advent of the Premier League, the fourth-highest division was known as the Football League Fourth Division.
At present (2014–15 season), Accrington Stanley hold the longest tenure in League Two, last being outside the division in the 2005–06 season when they were promoted from the Conference Premier.
Structure
There are 24 clubs in Football League Two. Each club plays each of the other clubs twice (once at home, once away) and is awarded three points for a win, one for a draw and no points for a loss. From these points a league table is constructed.
At the end of each season the top three teams, together with the winner of the play-offs between the teams which finished in fourth–seventh position, are promoted to Football League One and are replaced by the four teams that finished bottom of that division.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Football_League_Two
Podcasts:
-
Gates Computer Science Building (disambiguation) | Wikipedia audio article
This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/William_Gates_Building Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. ...
published: 07 Jun 2019 -
Disambiguation of the Building Code
Join us for this webinar: February 21, 2024 12 - 1 pm est. To register email education@grindleywilliams.com
published: 31 Jan 2024 -
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores. Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as a...
published: 07 Jan 2021 -
Manor House (disambiguation)
A manor house is a type of historical building. Manor House may also refer to: Source: https://en.wikipedia.org/wiki/Manor_House_(disambiguation) Created with WikipediaReaderReborn (c) WikipediaReader
published: 19 Nov 2021 -
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
#bert #wsd #wordnet This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets. ⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a...
published: 07 Apr 2021 -
KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth. The approach incorporates node embeddings into the NED model, employing the KG structure for the training process. The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners. Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the auto...
published: 03 Nov 2022 -
Trewern (disambiguation)
Trewern is a village in Powys, Wales. Trewern may also refer to: Trewern Hall or Trewern Farmhouse, a country house in Montgomeryshire, Wales Trewern House, one of the Grade II* listed buildings in Powys, Wales Trewern Mansion, in the village Llanddewi Velfrey, Pembrokeshire, Wales Source: https://en.wikipedia.org/wiki/Trewern_(disambiguation) Created with WikipediaReaderReborn (c) WikipediaReader
published: 10 Feb 2022 -
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) t...
published: 27 Oct 2022 -
Word Sense Disambiguation Using Naive bayes Classifier
This video is about Word Sense Disambiguation Using Naive bayes Classifier. If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
published: 08 Apr 2020 -
Upton Hall (disambiguation)
Upton Hall is the headquarters of the British Horological Institute, in Upton, Nottinghamshire, England. Upton Hall may also refer to: Upton Hall, Upton, previously manor house of Upton, Chesire, UK now home to the Upton Hall School FCJ. Upton Hall School FCJ, in Upton, Wirral, England Upton Hall, an academic building at Carlisle Barracks, Carlisle, Pennsylvania, US Upton Hall, Northamptonshire, England; home of Quinton House School Source: https://en.wikipedia.org/wiki/Upton_Hall_(disambiguation) Created with WikipediaReaderReborn (c) WikipediaReader
published: 13 May 2022
developed with YouTube
1:06
Gates Computer Science Building (disambiguation) | Wikipedia audio article
- Order: Reorder
- Duration: 1:06
- Uploaded Date: 07 Jun 2019
- views: 4
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/William_Gates_Building
Listening is a more natural way of learning,...
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/William_Gates_Building
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.7736767806098022
Voice name: en-AU-Wavenet-A
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
William Gates Building might refer to several structures named after Bill Gates (or his father William Gates):
Carnegie Mellon School of Computer Science, Pittsburgh, Pennsylvania, USA
Gates Computer Science Building, Stanford, California, USA
William Gates Building, Cambridge, England, housing the University of Cambridge Computer Laboratory since 2001Contributions from the Bill & Melinda Gates Foundation have resulted in similarly named computer science buildings on the campuses of:
Carnegie Mellon University, the Gates Center for Computer Science, opened in 2009, consists of two buildings.
Massachusetts Institute of Technology, one of the two towers of the Stata Center is known as the Gates tower.
University of Texas at Austin, the Bill and Melinda Gates Computer Science Complex.
Cornell University, Bill & Melinda Gates Hall.
https://wn.com/Gates_Computer_Science_Building_(Disambiguation)_|_Wikipedia_Audio_Article
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/William_Gates_Building
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.7736767806098022
Voice name: en-AU-Wavenet-A
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
William Gates Building might refer to several structures named after Bill Gates (or his father William Gates):
Carnegie Mellon School of Computer Science, Pittsburgh, Pennsylvania, USA
Gates Computer Science Building, Stanford, California, USA
William Gates Building, Cambridge, England, housing the University of Cambridge Computer Laboratory since 2001Contributions from the Bill & Melinda Gates Foundation have resulted in similarly named computer science buildings on the campuses of:
Carnegie Mellon University, the Gates Center for Computer Science, opened in 2009, consists of two buildings.
Massachusetts Institute of Technology, one of the two towers of the Stata Center is known as the Gates tower.
University of Texas at Austin, the Bill and Melinda Gates Computer Science Complex.
Cornell University, Bill & Melinda Gates Hall.
0:41
Disambiguation of the Building Code
- Order: Reorder
- Duration: 0:41
- Uploaded Date: 31 Jan 2024
- views: 40
Join us for this webinar:
February 21, 2024
12 - 1 pm est.
To register email education@grindleywilliams.com
Join us for this webinar:
February 21, 2024
12 - 1 pm est.
To register email education@grindleywilliams.com
https://wn.com/Disambiguation_Of_The_Building_Code
Join us for this webinar:
February 21, 2024
12 - 1 pm est.
To register email education@grindleywilliams.com
- published: 31 Jan 2024
- views: 40
29:09
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
- Order: Reorder
- Duration: 29:09
- Uploaded Date: 07 Jan 2021
- views: 528
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021...
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
https://wn.com/Disambiguation_–_Linking_Data_Science_And_Engineering_|_Nlp_Summit_2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
- published: 07 Jan 2021
- views: 528
3:19
Manor House (disambiguation)
- Order: Reorder
- Duration: 3:19
- Uploaded Date: 19 Nov 2021
- views: 1
A manor house is a type of historical building.
Manor House may also refer to:
Source: https://en.wikipedia.org/wiki/Manor_House_(disambiguation)
Created with ...
A manor house is a type of historical building.
Manor House may also refer to:
Source: https://en.wikipedia.org/wiki/Manor_House_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
https://wn.com/Manor_House_(Disambiguation)
A manor house is a type of historical building.
Manor House may also refer to:
Source: https://en.wikipedia.org/wiki/Manor_House_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
- published: 19 Nov 2021
- views: 1
11:18
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
- Order: Reorder
- Duration: 11:18
- Uploaded Date: 07 Apr 2021
- views: 2095
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using t...
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list;=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list;=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list;=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list;=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list;=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
https://wn.com/Glossbert_Bert_For_Word_Sense_Disambiguation_With_Gloss_Knowledge_(Research_Paper_Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list;=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list;=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list;=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list;=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list;=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
- published: 07 Apr 2021
- views: 2095
24:46
KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware
- Order: Reorder
- Duration: 24:46
- Uploaded Date: 03 Nov 2022
- views: 383
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the heal...
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth.
The approach incorporates node embeddings into the NED model, employing the KG structure for the training process.
The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners.
Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs.
The 5 key takeaways:
1. The components and requirements of the Intelligent Advisory Systems (IAS).
2. How they use Hume, the Neo4j-backed no-code knowledge graph ecosystem.
3. Delving into diabetes real-life use cases and linking to the Unified Medical Language System.
4. How GraphAware utilizes ontology-based enrichment for their knowledge graph-based approach.
5. The cooperation of NED candidates selections and NED candidates ranking.
#biotechnology #lifescience #technology
https://wn.com/Kgc_2022_Kg_Based_Approach_To_Named_Entity_Disambiguation_For_Healthcare_Applications_—_Graphaware
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth.
The approach incorporates node embeddings into the NED model, employing the KG structure for the training process.
The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners.
Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs.
The 5 key takeaways:
1. The components and requirements of the Intelligent Advisory Systems (IAS).
2. How they use Hume, the Neo4j-backed no-code knowledge graph ecosystem.
3. Delving into diabetes real-life use cases and linking to the Unified Medical Language System.
4. How GraphAware utilizes ontology-based enrichment for their knowledge graph-based approach.
5. The cooperation of NED candidates selections and NED candidates ranking.
#biotechnology #lifescience #technology
- published: 03 Nov 2022
- views: 383
0:28
Trewern (disambiguation)
- Order: Reorder
- Duration: 0:28
- Uploaded Date: 10 Feb 2022
- views: 9
Trewern is a village in Powys, Wales.
Trewern may also refer to:
Trewern Hall or Trewern Farmhouse, a country house in Montgomeryshire, Wales
Trewern House, on...
Trewern is a village in Powys, Wales.
Trewern may also refer to:
Trewern Hall or Trewern Farmhouse, a country house in Montgomeryshire, Wales
Trewern House, one of the Grade II* listed buildings in Powys, Wales
Trewern Mansion, in the village Llanddewi Velfrey, Pembrokeshire, Wales
Source: https://en.wikipedia.org/wiki/Trewern_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
https://wn.com/Trewern_(Disambiguation)
Trewern is a village in Powys, Wales.
Trewern may also refer to:
Trewern Hall or Trewern Farmhouse, a country house in Montgomeryshire, Wales
Trewern House, one of the Grade II* listed buildings in Powys, Wales
Trewern Mansion, in the village Llanddewi Velfrey, Pembrokeshire, Wales
Source: https://en.wikipedia.org/wiki/Trewern_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
- published: 10 Feb 2022
- views: 9
4:54
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
- Order: Reorder
- Duration: 4:54
- Uploaded Date: 27 Oct 2022
- views: 1065
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be i...
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) to improve albedo estimation and, hence, fairness. Specifically, we create the first facial albedo evaluation benchmark where subjects are balanced in terms of skin color, and measure accuracy using the Individual Typology Angle (ITA) metric. We then address the light/albedo ambiguity by building on a key observation: the image of the full scene –as opposed to a cropped image of the face– contains important information about lighting that can be used for disambiguation. TRUST regresses facial albedo by conditioning on both the face region and a global illumination signal obtained from the scene image. Our experimental results show significant improvement compared to state- of-the-art methods on albedo estimation, both in terms of accuracy and fairness. The evaluation benchmark and code are available for research purposes at https://trust.is.tue.mpg.de.
PDF: https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730072.pdf
Project: https://trust.is.tue.mpg.de/index.html
Code: https://github.com/HavenFeng/TRUST
Dataset: https://trust.is.tue.mpg.de/login.php
Reference:
@inproceedings{TRUST:ECCV2022,
title = {Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation},
author = {Feng, Haiwen and Bolkart, Timo and Tesch, Joachim and Black, Michael J. and Abrevaya, Victoria},
booktitle = {European Conference on Computer Vision (ECCV)},
publisher = {Springer International Publishing},
month = oct,
year = {2022},
doi = {},
month_numeric = {10}
}
https://wn.com/Towards_Racially_Unbiased_Skin_Tone_Estimation_Via_Scene_Disambiguation
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) to improve albedo estimation and, hence, fairness. Specifically, we create the first facial albedo evaluation benchmark where subjects are balanced in terms of skin color, and measure accuracy using the Individual Typology Angle (ITA) metric. We then address the light/albedo ambiguity by building on a key observation: the image of the full scene –as opposed to a cropped image of the face– contains important information about lighting that can be used for disambiguation. TRUST regresses facial albedo by conditioning on both the face region and a global illumination signal obtained from the scene image. Our experimental results show significant improvement compared to state- of-the-art methods on albedo estimation, both in terms of accuracy and fairness. The evaluation benchmark and code are available for research purposes at https://trust.is.tue.mpg.de.
PDF: https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730072.pdf
Project: https://trust.is.tue.mpg.de/index.html
Code: https://github.com/HavenFeng/TRUST
Dataset: https://trust.is.tue.mpg.de/login.php
Reference:
@inproceedings{TRUST:ECCV2022,
title = {Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation},
author = {Feng, Haiwen and Bolkart, Timo and Tesch, Joachim and Black, Michael J. and Abrevaya, Victoria},
booktitle = {European Conference on Computer Vision (ECCV)},
publisher = {Springer International Publishing},
month = oct,
year = {2022},
doi = {},
month_numeric = {10}
}
- published: 27 Oct 2022
- views: 1065
14:19
Word Sense Disambiguation Using Naive bayes Classifier
- Order: Reorder
- Duration: 14:19
- Uploaded Date: 08 Apr 2020
- views: 4141
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , ...
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
https://wn.com/Word_Sense_Disambiguation_Using_Naive_Bayes_Classifier
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
- published: 08 Apr 2020
- views: 4141
0:39
Upton Hall (disambiguation)
- Order: Reorder
- Duration: 0:39
- Uploaded Date: 13 May 2022
- views: 18
Upton Hall is the headquarters of the British Horological Institute, in Upton, Nottinghamshire, England.
Upton Hall may also refer to:
Upton Hall, Upton, previ...
Upton Hall is the headquarters of the British Horological Institute, in Upton, Nottinghamshire, England.
Upton Hall may also refer to:
Upton Hall, Upton, previously manor house of Upton, Chesire, UK now home to the Upton Hall School FCJ.
Upton Hall School FCJ, in Upton, Wirral, England
Upton Hall, an academic building at Carlisle Barracks, Carlisle, Pennsylvania, US
Upton Hall, Northamptonshire, England; home of Quinton House School
Source: https://en.wikipedia.org/wiki/Upton_Hall_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
https://wn.com/Upton_Hall_(Disambiguation)
Upton Hall is the headquarters of the British Horological Institute, in Upton, Nottinghamshire, England.
Upton Hall may also refer to:
Upton Hall, Upton, previously manor house of Upton, Chesire, UK now home to the Upton Hall School FCJ.
Upton Hall School FCJ, in Upton, Wirral, England
Upton Hall, an academic building at Carlisle Barracks, Carlisle, Pennsylvania, US
Upton Hall, Northamptonshire, England; home of Quinton House School
Source: https://en.wikipedia.org/wiki/Upton_Hall_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
- published: 13 May 2022
- views: 18
1:06
Gates Computer Science Building (disambiguation) | Wikipedia audio article
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/William_...
published: 07 Jun 2019
Gates Computer Science Building (disambiguation) | Wikipedia audio article
Gates Computer Science Building (disambiguation) | Wikipedia audio article
- Report rights infringement
- published: 07 Jun 2019
- views: 4
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/William_Gates_Building
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.7736767806098022
Voice name: en-AU-Wavenet-A
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
William Gates Building might refer to several structures named after Bill Gates (or his father William Gates):
Carnegie Mellon School of Computer Science, Pittsburgh, Pennsylvania, USA
Gates Computer Science Building, Stanford, California, USA
William Gates Building, Cambridge, England, housing the University of Cambridge Computer Laboratory since 2001Contributions from the Bill & Melinda Gates Foundation have resulted in similarly named computer science buildings on the campuses of:
Carnegie Mellon University, the Gates Center for Computer Science, opened in 2009, consists of two buildings.
Massachusetts Institute of Technology, one of the two towers of the Stata Center is known as the Gates tower.
University of Texas at Austin, the Bill and Melinda Gates Computer Science Complex.
Cornell University, Bill & Melinda Gates Hall.
0:41
Disambiguation of the Building Code
Join us for this webinar:
February 21, 2024
12 - 1 pm est.
To register email education@gri...
published: 31 Jan 2024
Disambiguation of the Building Code
Disambiguation of the Building Code
- Report rights infringement
- published: 31 Jan 2024
- views: 40
Join us for this webinar:
February 21, 2024
12 - 1 pm est.
To register email education@grindleywilliams.com
29:09
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-t...
published: 07 Jan 2021
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
- Report rights infringement
- published: 07 Jan 2021
- views: 528
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
3:19
Manor House (disambiguation)
A manor house is a type of historical building.
Manor House may also refer to:
Source: ht...
published: 19 Nov 2021
Manor House (disambiguation)
Manor House (disambiguation)
- Report rights infringement
- published: 19 Nov 2021
- views: 1
A manor house is a type of historical building.
Manor House may also refer to:
Source: https://en.wikipedia.org/wiki/Manor_House_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
11:18
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP ...
published: 07 Apr 2021
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
- Report rights infringement
- published: 07 Apr 2021
- views: 2095
#bert #wsd #wordnet
This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets.
⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems.
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
⏩ OUTLINE:
0:00 - Abstract
01:46 - Task Definition
02:11 - Data Collection approach
02:30 - WordNet Overview
03:35 - Sentence construction method table overview
05:27 - BERT(Token-CLS)
06:41 - GlossBERT
07:52 - Context-Gloss Pair with Weak Supervision
08:55 - GlossBERT(Token-CLS)
09:20 - GlossBERT(Sent-CLS)
09:44 - GlossBERT(Sent-CLS-WS)
10:09 - Results
⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
⏩ Paper: https://arxiv.org/abs/1908.07245v4
⏩ Code: https://github.com/HSLCY/GlossBERT
⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang
⏩ Organisation: Fudan University
⏩ IMPORTANT LINKS
Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list;=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list;=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ
Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list;=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f
Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list;=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf
Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list;=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
*********************************************
⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy
⏩ Blog - https://prakhartechviz.blogspot.com
⏩ LinkedIn - https://linkedin.com/in/prakhar21
⏩ Medium - https://medium.com/@prakhar.mishra
⏩ GitHub - https://github.com/prakhar21
⏩ Twitter - https://twitter.com/rattller
*********************************************
Please feel free to share out the content and subscribe to my channel :)
⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1
Tools I use for making videos :)
⏩ iPad - https://tinyurl.com/y39p6pwc
⏩ Apple Pencil - https://tinyurl.com/y5rk8txn
⏩ GoodNotes - https://tinyurl.com/y627cfsa
#techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
24:46
KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity ...
published: 03 Nov 2022
KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware
KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware
- Report rights infringement
- published: 03 Nov 2022
- views: 383
Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth.
The approach incorporates node embeddings into the NED model, employing the KG structure for the training process.
The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners.
Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs.
The 5 key takeaways:
1. The components and requirements of the Intelligent Advisory Systems (IAS).
2. How they use Hume, the Neo4j-backed no-code knowledge graph ecosystem.
3. Delving into diabetes real-life use cases and linking to the Unified Medical Language System.
4. How GraphAware utilizes ontology-based enrichment for their knowledge graph-based approach.
5. The cooperation of NED candidates selections and NED candidates ranking.
#biotechnology #lifescience #technology
0:28
Trewern (disambiguation)
Trewern is a village in Powys, Wales.
Trewern may also refer to:
Trewern Hall or Trewern ...
published: 10 Feb 2022
Trewern (disambiguation)
Trewern (disambiguation)
- Report rights infringement
- published: 10 Feb 2022
- views: 9
Trewern is a village in Powys, Wales.
Trewern may also refer to:
Trewern Hall or Trewern Farmhouse, a country house in Montgomeryshire, Wales
Trewern House, one of the Grade II* listed buildings in Powys, Wales
Trewern Mansion, in the village Llanddewi Velfrey, Pembrokeshire, Wales
Source: https://en.wikipedia.org/wiki/Trewern_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
4:54
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Virtual facial avatars will play an increasingly important role in immersive communication...
published: 27 Oct 2022
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
- Report rights infringement
- published: 27 Oct 2022
- views: 1065
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) to improve albedo estimation and, hence, fairness. Specifically, we create the first facial albedo evaluation benchmark where subjects are balanced in terms of skin color, and measure accuracy using the Individual Typology Angle (ITA) metric. We then address the light/albedo ambiguity by building on a key observation: the image of the full scene –as opposed to a cropped image of the face– contains important information about lighting that can be used for disambiguation. TRUST regresses facial albedo by conditioning on both the face region and a global illumination signal obtained from the scene image. Our experimental results show significant improvement compared to state- of-the-art methods on albedo estimation, both in terms of accuracy and fairness. The evaluation benchmark and code are available for research purposes at https://trust.is.tue.mpg.de.
PDF: https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730072.pdf
Project: https://trust.is.tue.mpg.de/index.html
Code: https://github.com/HavenFeng/TRUST
Dataset: https://trust.is.tue.mpg.de/login.php
Reference:
@inproceedings{TRUST:ECCV2022,
title = {Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation},
author = {Feng, Haiwen and Bolkart, Timo and Tesch, Joachim and Black, Michael J. and Abrevaya, Victoria},
booktitle = {European Conference on Computer Vision (ECCV)},
publisher = {Springer International Publishing},
month = oct,
year = {2022},
doi = {},
month_numeric = {10}
}
14:19
Word Sense Disambiguation Using Naive bayes Classifier
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are ...
published: 08 Apr 2020
Word Sense Disambiguation Using Naive bayes Classifier
Word Sense Disambiguation Using Naive bayes Classifier
- Report rights infringement
- published: 08 Apr 2020
- views: 4141
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
0:39
Upton Hall (disambiguation)
Upton Hall is the headquarters of the British Horological Institute, in Upton, Nottinghams...
published: 13 May 2022
Upton Hall (disambiguation)
Upton Hall (disambiguation)
- Report rights infringement
- published: 13 May 2022
- views: 18
Upton Hall is the headquarters of the British Horological Institute, in Upton, Nottinghamshire, England.
Upton Hall may also refer to:
Upton Hall, Upton, previously manor house of Upton, Chesire, UK now home to the Upton Hall School FCJ.
Upton Hall School FCJ, in Upton, Wirral, England
Upton Hall, an academic building at Carlisle Barracks, Carlisle, Pennsylvania, US
Upton Hall, Northamptonshire, England; home of Quinton House School
Source: https://en.wikipedia.org/wiki/Upton_Hall_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
Building (mathematics)
In mathematics, a building (also Tits building, Bruhat–Tits building, named after François Bruhat and Jacques Tits) is a combinatorial and geometric structure which simultaneously generalizes certain aspects of flag manifolds, finite projective planes, and Riemannian symmetric spaces. Initially introduced by Jacques Tits as a means to understand the structure of exceptional groups of Lie type, the theory has also been used to study the geometry and topology of homogeneous spaces of p-adic Lie groups and their discrete subgroups of symmetries, in the same way that trees have been used to study free groups.
Overview
The notion of a building was invented by Jacques Tits as a means of describing simple algebraic groups over an arbitrary field. Tits demonstrated how to every such group G one can associate a simplicial complex Δ = Δ(G) with an action of G, called the spherical building of G. The group G imposes very strong combinatorial regularity conditions on the complexes Δ that can arise in this fashion. By treating these conditions as axioms for a class of simplicial complexes, Tits arrived at his first definition of a building. A part of the data defining a building Δ is a Coxeter group W, which determines a highly symmetrical simplicial complex Σ = Σ(W,S), called the Coxeter complex. A building Δ is glued together from multiple copies of Σ, called its apartments, in a certain regular fashion. When W is a finite Coxeter group, the Coxeter complex is a topological sphere, and the corresponding buildings are said to be of spherical type. When W is an affine Weyl group, the Coxeter complex is a subdivision of the affine plane and one speaks of affine, or Euclidean, buildings. An affine building of type is the same as an infinite tree without terminal vertices.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Building_(mathematics)
Gates Computer Science Building (disambiguation) |...
Disambiguation of the Building Code...
Disambiguation – Linking Data Science and Engineer...
Manor House (disambiguation)...
GlossBERT: BERT for Word Sense Disambiguation with...
KGC 2022: KG-Based Approach to Named Entity Disamb...
Trewern (disambiguation)...
Towards Racially Unbiased Skin Tone Estimation via...
Word Sense Disambiguation Using Naive bayes Classi...
Upton Hall (disambiguation)...
-
by On
-
by The Beautiful Mistake
Building
by: OnI should have known that you would be somebody
Who would take me back to school
Everything I've known is suddenly in question
When I start to share it with you
I should have seen that you would be the kind of girl
Who'd make my mind up for me
Everything I've thought is making no sense to me
When I started to see it your way
When I started to see it your way
Are you bringing me down
Or are you making me more then I am?
Are you breaking me down
Or are you building me up to your plans?
I can't get along without you
But girl, you make it hard to
Live my life in peace when
I'm so damn busy changing
I can't get along without you
But girl you make it hard to
Live my life in peace when
I'm so damn busy changing
I should have known that you would be somebody
Who would take me back to school
Everything I've known is suddenly in question
When I start to share it with you
I should have seen that you would be the kind of girl
Who'd make my mind up for me
Everything I thought is making no sense to me
When I started to see it your way
When I started to see it your way
Are you bringing me down
Or are you making me more then I am?
Are you breaking me down
Or are you building me up to your plans?
I can't get along without you
But girl, you make it hard to
Live my life in peace when
I'm so damn busy changing
I can't get along without you
But girl, you make it hard to
Live my life in peace when
I'm so damn busy changing
Yeah, yeah
Yeah, yeah, yeah
Yeah, yeah
Yeah, yeah, yeah
Yeah, yeah
Yeah, yeah, yeah
Yeah, yeah
Latest News for: on building league
- 1