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JMLR
2006
156views more  JMLR 2006»
14 years 9 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
TCAD
2008
106views more  TCAD 2008»
14 years 9 months ago
Track Routing and Optimization for Yield
Abstract--In this paper, we propose track routing and optimization for yield (TROY), the first track router for the optimization of yield loss due to random defects. As the probabi...
Minsik Cho, Hua Xiang, Ruchir Puri, David Z. Pan
SIGPRO
2010
135views more  SIGPRO 2010»
14 years 8 months ago
A short note on compressed sensing with partially known signal support
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
Laurent Jacques
71
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VTC
2010
IEEE
172views Communications» more  VTC 2010»
14 years 8 months ago
Turbo Source Compression with Jointly Optimized Inner Irregular and Outer Irregular Codes
—In this paper, we present a near-lossless compression scheme for scalar-quantized source codec parameters based on iterative source-channel decoding (ISCD). The scheme is compar...
Laurent Schmalen, Peter Vary, Thorsten Clevorn, Ma...
JMLR
2012
13 years 4 days ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski