1176 search results - page 142 / 236 » Sparse reward processes |
158
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ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
212
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CGI
2009
IEEE
15 years 8 months ago
2009
IEEE
We present an approach to automatically register a large set of color images to a 3D geometric model. The problem arises from the modeling of real-world environments, where surfac...
141
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ICIP
2009
IEEE
15 years 2 months ago
2009
IEEE
Wavelets provide a sparse representation for piecewise smooth signals in 1-D; however, separable extensions of wavelets to multiple dimensions do not achieve the same level of spa...
159
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ICASSP
2011
IEEE
14 years 8 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...
135
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
This paper presents a novel spatial texture prediction method based on non-negative matrix factorization. As an extension of template matching, approximation based iterative textu...