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80
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ICCV
2009
IEEE
14 years 9 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
CVPR
2007
IEEE
16 years 1 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
PAMI
2000
325views more  PAMI 2000»
14 years 11 months ago
Learning Patterns of Activity Using Real-Time Tracking
Chris Stauffer, W. Eric L. Grimson
158
Voted
CVPR
2012
IEEE
13 years 2 months ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang
ICCHP
2004
Springer
15 years 5 months ago
Web Adaptation of Learning Objects for Special Access WALOSA
Diversity in learning style represents an obstacle teachers have to deal with. In the case of pupils with visual perception troubles, teachers cannot propose to students with diffi...
Carole Salis, Cristian Lai, Claude Moulin