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» Invariances in kernel methods: From samples to objects
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ICIP
2009
IEEE
13 years 5 months ago
View-invariant action recognition using cross ratios across frames
We present a new method of computing invariants in videos captured from different views to achieve view-invariant action recognition. To avoid the constraints of collinearity or c...
Yeyin Zhang, Kaiqi Huang, Yongzhen Huang, Tieniu T...
ICPR
2008
IEEE
14 years 9 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
FORMATS
2006
Springer
13 years 11 months ago
Static Analysis for State-Space Reduction of Polygonal Hybrid Systems
Polygonal hybrid systems (SPDI) are a subclass of planar hybrid automata which can be represented by piecewise constant differential inclusions. The reachability problem as well as...
Gordon J. Pace, Gerardo Schneider
ICASSP
2008
IEEE
14 years 2 months ago
Mutual features for robust identification and verification
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Heiko Claussen, Justinian Rosca, Robert I. Damper
ECCV
2004
Springer
14 years 1 months ago
Null Space Approach of Fisher Discriminant Analysis for Face Recognition
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan