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» Image retrieval based on projective invariance
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MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 2 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
TKDE
2008
195views more  TKDE 2008»
13 years 8 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
ICPR
2006
IEEE
14 years 9 months ago
OCR Fonts Revisited for Camera-Based Character Recognition
In order to realize accurate camera-based character recognition, machine-readable class information is embedded into each character image. Specifically, each character image is pr...
Koichi Kise, Masakazu Iwamura, Seiichi Uchida, Shi...
IJON
2007
166views more  IJON 2007»
13 years 8 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi
RIAO
2000
13 years 10 months ago
Language-Based Multimedia Information Retrieval
This paper describes various methods and approaches for language-based multimedia information retrieval, which have been developed in the projects POP-EYE and OLIVE and which will...
Franciska de Jong, Jean-Luc Gauvain, Djoerd Hiemst...