719 search results - page 42 / 144 » Solving Sparse Linear Constraints |
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
Abstract-- Many model order reduction methods for parameterized systems need to construct a projection matrix V which requires computing several moment matrices of the parameterize...
ICPR
2008
IEEE
15 years 5 months ago
2008
IEEE
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
ECCV
2004
Springer
16 years 15 days ago
2004
Springer
Level-set methods have been shown to be an effective way to solve optimisation problems that involve closed curves. They are well known for their capacity to deal with flexible top...
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ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
The problem addressed is source localization via time-differenceof-arrival estimation in a multipath channel. Solving this localization problem typically implies cross-correlating...