598 search results - page 79 / 120 » The Structure of Sparse Resultant Matrices |
147
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals that enables sampling rates significantly below the classical Nyquist rate. Based on...
165
Voted
ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
Image registration and 3D reconstruction are fundamental computer vision and medical imaging problems. They are particularly challenging when the input data are images of a deform...
158
Voted
CORR
2011
Springer
14 years 10 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
134
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JMLR
2010
14 years 10 months ago
2010
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
150
Voted
CIKM
2007
Springer
15 years 10 months ago
2007
Springer
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...