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» Sparse Representation: Extract Adaptive Neighborhood for Mul...
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104
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PRICAI
2010
Springer
14 years 8 months ago
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification
Unlike traditional classification tasks, multilabel classification allows a sample to associate with more than one label. This generalization naturally arises the difficulty in cla...
Shuo Xiang, Songcan Chen, Lishan Qiao
116
Voted
CVPR
2003
IEEE
16 years 27 days ago
A Sparse Texture Representation Using Affine-Invariant Regions
This paper introduces a texture representation suitable for recognizing images of textured surfaces under a wide range of transformations, including viewpoint changes and nonrigid...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
70
Voted
CVPR
2010
IEEE
15 years 7 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...