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» Exact Algorithms for the Quadratic Linear Ordering Problem
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TNN
2008
182views more  TNN 2008»
14 years 11 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
109
Voted
PAMI
1998
170views more  PAMI 1998»
14 years 11 months ago
Ordinal Measures for Image Correspondence
—We present ordinal measures of association for image correspondence in the context of stereo. Linear correspondence measures like correlation and the sum of squared difference b...
Dinkar N. Bhat, Shree K. Nayar
109
Voted
BIS
2010
159views Business» more  BIS 2010»
14 years 6 months ago
Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data Mining
Nowadays the software systems, including web portals, are developed from a priori assumptions about how the system will be used. However, frequently these assumptions hold only par...
Jérémy Besson, Ieva Mitasiunaite, Au...
84
Voted
CVPR
2005
IEEE
16 years 1 months ago
Matching with PROSAC - Progressive Sample Consensus
A new robust matching method is proposed. The Progressive Sample Consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity fu...
Ondrej Chum, Jiri Matas
ICASSP
2009
IEEE
15 years 6 months ago
Analyzing Least Squares and Kalman Filtered Compressed Sensing
In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited ...
Namrata Vaswani