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» Generic Graph Algorithms for Sparse Matrix Ordering
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WSOM
2009
Springer
15 years 4 months ago
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas
Abstract. We show how the “Online Sparse Coding Neural Gas” algorithm can be applied to a more realistic model of the “Cocktail Party Problem”. We consider a setting where ...
Kai Labusch, Erhardt Barth, Thomas Martinetz
WSCG
2001
141views more  WSCG 2001»
14 years 10 months ago
Exploiting Eigenvalues of the Hessian Matrix for Volume Decimation
In recent years the Hessian matrix and its eigenvalues became important in pattern recognition. Several algorithms based on the information they provide have been introduced. We r...
Jirí Hladuvka, Andreas König, Eduard G...
INFOCOM
2012
IEEE
12 years 12 months ago
Sparse recovery with graph constraints: Fundamental limits and measurement construction
—This paper addresses the problem of sparse recovery with graph constraints in the sense that we can take additive measurements over nodes only if they induce a connected subgrap...
Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
ALGORITHMS
2010
114views more  ALGORITHMS 2010»
14 years 6 months ago
Graph Extremities Defined by Search Algorithms
: Graph search algorithms have exploited graph extremities, such as the leaves of a tree and the simplicial vertices of a chordal graph. Recently, several well-known graph search a...
Anne Berry, Jean R. S. Blair, Jean Paul Bordat, Ge...
ICPR
2010
IEEE
15 years 4 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel