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» Annotating Images by Mining Image Search Results
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ASIAMS
2007
IEEE
14 years 3 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
MM
2005
ACM
122views Multimedia» more  MM 2005»
14 years 2 months ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
CIVR
2010
Springer
215views Image Analysis» more  CIVR 2010»
14 years 1 months ago
Multi modal semantic indexing for image retrieval
Popular image retrieval schemes generally rely only on a single mode, (either low level visual features or embedded text) for searching in multimedia databases. Many popular image...
Chandrika Pulla, C. V. Jawahar
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 2 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
ICIP
1999
IEEE
14 years 10 months ago
Face Detection for Pseudo-Semantic Labeling in Video Databases
Pseudo-semantic labeling represents a novel approach for automatic content description of video. This information can be used in the context of a video database to improve browsin...
Alberto Albiol, Charles A. Bouman, Edward J. Delp