Sciweavers

3607 search results - page 22 / 722
» Learning with structured sparsity
Sort
View
ICA
2007
Springer
14 years 2 months ago
Compressed Sensing and Source Separation
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
Thomas Blumensath, Mike E. Davies
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 5 months ago
CUR from a Sparse Optimization Viewpoint
The CUR decomposition provides an approximation of a matrix X that has low reconstruction error and that is sparse in the sense that the resulting approximation lies in the span o...
Jacob Bien, Ya Xu, Michael W. Mahoney
ICCAD
2001
IEEE
124views Hardware» more  ICCAD 2001»
14 years 4 months ago
Highly Accurate Fast Methods for Extraction and Sparsification of Substrate Coupling Based on Low-Rank Approximation
More aggressive design practices have created renewed interest in techniques for analyzing substrate coupling problems. Most previous work has focused primarily on faster techniqu...
Joe Kanapka, Jacob White
CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 8 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...
ICML
1998
IEEE
14 years 8 months ago
Structural Machine Learning with Galois Lattice and Graphs
Michel Liquiere, Jean Sallantin