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» Learning the Semantics of Words and Pictures
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CVIU
2008
209views more  CVIU 2008»
13 years 7 months ago
Combining visual dictionary, kernel-based similarity and learning strategy for image category retrieval
This paper presents a search engine architecture, RETIN, aiming at retrieving complex categories in large image databases. For indexing, a scheme based on a two-step quantization ...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
ANLP
1992
85views more  ANLP 1992»
13 years 8 months ago
Learning a Scanning Understanding for "Real-world" Library Categorization
This paper describes, compares, and evaluates three different approaches for learning a semantic classification of library titles: 1) syntactically condensed titles, 2) complete t...
Stefan Wermter
CONCUR
2009
Springer
14 years 2 months ago
Probabilistic Weighted Automata
Nondeterministic weighted automata are finite automata with numerical weights on transitions. They define quantitative languages L that assign to each word w a real number L(w). ...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
CVPR
2007
IEEE
14 years 9 months ago
Transfer Learning in Sign language
We build word models for American Sign Language (ASL) that transfer between different signers and different aspects. This is advantageous because one could use large amounts of la...
Ali Farhadi, David A. Forsyth, Ryan White
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 8 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho