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132
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CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 3 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
CORR
2010
Springer
98views Education» more  CORR 2010»
15 years 3 months ago
Analog Matching of Colored Sources to Colored Channels
Analog (uncoded) transmission provides a simple scheme for communicating a Gaussian source over a Gaussian channel under the mean squared error (MSE) distortion measure. Unfortuna...
Yuval Kochman, Ram Zamir
107
Voted
CORR
2008
Springer
98views Education» more  CORR 2008»
15 years 3 months ago
High-SNR Analysis of Outage-Limited Communications with Bursty and Delay-Limited Information
Abstract-- This work analyzes the high-SNR asymptotic error performance of outage-limited communications with fading, where the number of bits that arrive at the transmitter during...
Somsak Kittipiyakul, Petros Elia, Tara Javidi
CONCURRENCY
2007
75views more  CONCURRENCY 2007»
15 years 3 months ago
A distributed packed storage for large dense parallel in-core calculations
We propose in this paper a distributed packed storage format that exploits the symmetry or the triangular structure of a dense matrix. This format stores only half of the matrix w...
Marc Baboulin, Luc Giraud, Serge Gratton, Julien L...
JMLR
2006
156views more  JMLR 2006»
15 years 3 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...