2949 search results - page 114 / 590 » Universal Sparse Modeling |
89
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
93
Voted
ECML
2007
Springer
15 years 7 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
97
Voted
WACV
2005
IEEE
15 years 6 months ago
2005
IEEE
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the cont...
161
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3DPVT
2004
IEEE
15 years 4 months ago
2004
IEEE
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
CORR
2010
Springer
15 years 26 days ago
2010
Springer
We study the tradeoffs between the number of measurements, the signal sparsity level, and the measurement noise level for exact support recovery of sparse signals via random noisy ...