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Proceedings of Conference on Computer Architectures for Machine Perception, 2002
In the paper the problem of video segmentation and semantic analysis for video indexing and cinematographic language classification is addressed. Large archives of video sequences will remain a largely unexploitable resource of information, unless a straightforward way to describe their content is designed.
J.M. Corridoni, A. Del Bimbo
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In the paper the problem of video segmentation and semantic analysis for video indexing and cinematographic language classification is addressed. Large archives of video sequences will remain a largely unexploitable resource of information, unless a straightforward way to describe their content is designed.
J.M. Corridoni, A. Del Bimbo
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2008 7th IEEE International Conference on Cybernetic Intelligent Systems, 2008
Semantic category theory indicates that human thinking involves four, entirely distinct types of information processing, each associated with a totally independent dasiasemantic categorypsila. However, observation also indicates that human cognition does not enforce strong data typing.
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Semantic category theory indicates that human thinking involves four, entirely distinct types of information processing, each associated with a totally independent dasiasemantic categorypsila. However, observation also indicates that human cognition does not enforce strong data typing.
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2014
Over the last decade, two computational ideas have fundamentally disrupted how humans receive and consume information. Online Social Networks and Social Media revolutionized information diffusion in societies, compelling traditional media, advertising and technology companies to honor the wisdom of the crowds.
Suman Deb Roy, Wenjun Zeng
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Over the last decade, two computational ideas have fundamentally disrupted how humans receive and consume information. Online Social Networks and Social Media revolutionized information diffusion in societies, compelling traditional media, advertising and technology companies to honor the wisdom of the crowds.
Suman Deb Roy, Wenjun Zeng
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Proceedings of the Conference on Computer Support for Collaborative Learning Foundations for a CSCL Community - CSCL '02, 2002
Latent Semantic Analysis (LSA) is a powerful tool for use in the support of learning in collaborative environments. We will provide participants with a basic understanding of LSA theory and methods and demonstrate applications of its use in support of collaboration and learning.
Tom Landauer, Scott Dooley
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Latent Semantic Analysis (LSA) is a powerful tool for use in the support of learning in collaborative environments. We will provide participants with a basic understanding of LSA theory and methods and demonstrate applications of its use in support of collaboration and learning.
Tom Landauer, Scott Dooley
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2009
AbstractA semantic theory must account for both how words are related to other words (intralinguistic connections) and how words connect to the world. Semantic field theory, which is appropriate for intralinguistic relations, is applied to wine words in this chapter.
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AbstractA semantic theory must account for both how words are related to other words (intralinguistic connections) and how words connect to the world. Semantic field theory, which is appropriate for intralinguistic relations, is applied to wine words in this chapter.
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Incorporating Semantic Analysis
1997Thus far, the basic analyzer components which comprise of the lexical analyzer and parser, are in place. Recognition of program structure is relatively simple, and in fact, has been shown in the previous two chapters to be highly amenable to automated construction.
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Annual Review of Information Science and Technology, 2004
L'Analyse Semantique Latente est une approche statistique introduite pour ameliorer la recherche d'information. Elle consiste a reduire la dimensionalite du probleme de la recherche d'information pour surmonter les difficultes liees a la synonymie et la polysemie. Au-dela de ses applications en recherche d'information (filtrage, multilinguisme), elle a
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L'Analyse Semantique Latente est une approche statistique introduite pour ameliorer la recherche d'information. Elle consiste a reduire la dimensionalite du probleme de la recherche d'information pour surmonter les difficultes liees a la synonymie et la polysemie. Au-dela de ses applications en recherche d'information (filtrage, multilinguisme), elle a
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