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» On sparse signal representations
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145
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IPPS
1999
IEEE
15 years 10 months ago
Sparse Matrix Block-Cyclic Redistribution
Run-time support for the CYCLIC(k) redistribution on the SPMD computation model is presently very relevant for the scientific community. This work is focused to the characterizati...
Gerardo Bandera, Emilio L. Zapata
NIPS
2003
15 years 7 months ago
Perspectives on Sparse Bayesian Learning
Recently, relevance vector machines (RVM) have been fashioned from a sparse Bayesian learning (SBL) framework to perform supervised learning using a weight prior that encourages s...
David P. Wipf, Jason A. Palmer, Bhaskar D. Rao
ICASSP
2009
IEEE
16 years 27 days ago
A simple, efficient and near optimal algorithm for compressed sensing
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...
Thomas Blumensath, Mike E. Davies
142
Voted
CMSB
2006
Springer
15 years 10 months ago
Stronger Computational Modelling of Signalling Pathways Using Both Continuous and Discrete-State Methods
Abstract. Starting from a biochemical signalling pathway model expressed in a process algebra enriched with quantitative information we automatically derive both continuous-space a...
Muffy Calder, Adam Duguid, Stephen Gilmore, Jane H...
132
Voted
ICANN
2007
Springer
16 years 9 days ago
Sparse and Transformation-Invariant Hierarchical NMF
The hierarchical non-negative matrix factorization (HNMF) is a multilayer generative network for decomposing strictly positive data into strictly positive activations and base vect...
Sven Rebhan, Julian Eggert, Horst-Michael Gro&szli...