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» Structured Sparsity with Group-Graph Regularization
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SC
2009
ACM
14 years 4 months ago
Implementing sparse matrix-vector multiplication on throughput-oriented processors
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations enc...
Nathan Bell, Michael Garland
ICML
2010
IEEE
13 years 10 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
BMCBI
2010
86views more  BMCBI 2010»
13 years 9 months ago
Mining protein loops using a structural alphabet and statistical exceptionality
Background: Protein loops encompass 50% of protein residues in available three-dimensional structures. These regions are often involved in protein functions, e.g. binding site, ca...
Leslie Regad, Juliette Martin, Grégory Nuel...
KDD
2010
ACM
223views Data Mining» more  KDD 2010»
13 years 11 months ago
An efficient algorithm for a class of fused lasso problems
The fused Lasso penalty enforces sparsity in both the coefficients and their successive differences, which is desirable for applications with features ordered in some meaningful w...
Jun Liu, Lei Yuan, Jieping Ye
CSDA
2006
85views more  CSDA 2006»
13 years 9 months ago
Two-way Poisson mixture models for simultaneous document classification and word clustering
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
Jia Li, Hongyuan Zha