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CIVR
2005
Springer
144views Image Analysis» more  CIVR 2005»
14 years 1 months ago
A Weakly Supervised Approach for Semantic Image Indexing and Retrieval
This paper presents a new approach for building semantic image indexing and retrieval systems. Our approach is composed of four phases : (1) knowledge acquisition, (2) weakly-super...
Nicolas Maillot, Monique Thonnat
CIKM
2009
Springer
14 years 2 months ago
Supervised semantic indexing
We present a class of models that are discriminatively trained to directly map from the word content in a query-document or documentdocument pair to a ranking score. Like Latent Se...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
CIVR
2006
Springer
126views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Semantics Supervised Cluster-Based Index for Video Databases
High-dimensional index is one of the most challenging tasks for content-based video retrieval (CBVR). Typically, in video database, there exist two kinds of clues for query: visual...
Zhiping Shi, Qingyong Li, Zhiwei Shi, Zhongzhi Shi
IJCAI
2007
13 years 9 months ago
Supervised Latent Semantic Indexing Using Adaptive Sprinkling
Latent Semantic Indexing (LSI) has been shown to be effective in recovering from synonymy and polysemy in text retrieval applications. However, since LSI ignores class labels of t...
Sutanu Chakraborti, Rahman Mukras, Robert Lothian,...
VIP
2003
13 years 8 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin