2949 search results - page 112 / 590 » Universal Sparse Modeling |
HIPS
1998
IEEE
15 years 5 months ago
1998
IEEE
Industrial applications use specific problem-oriented implementations of large sparse and irregular data structures. Hence there is a need for tools that make it possible for deve...
135
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SDM
2004
SIAM
15 years 2 months ago
2004
SIAM
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
ICA
2010
Springer
15 years 1 months ago
2010
Springer
In this paper, we propose a novel method for blind source separation (BSS) based on time-frequency sparseness (TF) that can estimate the number of sources and time-frequency masks,...
105
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JMLR
2010
14 years 11 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
107
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SIAMMAX
2010
14 years 7 months ago
2010
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...