1582 search results - page 79 / 317 » On sparse signal representations |
135
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CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
154
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
177
Voted
ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
The Common Spatial Pattern (CSP) method is a powerful technique for feature extraction from multichannel neural activity and widely used in brain computer interface (BCI) applicat...
187
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
142
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CORR
2010
Springer
15 years 3 months ago
2010
Springer
Scalar quantization is the most practical and straightforward approach to signal quantization. However, it has been shown that scalar quantization of oversampled or Compressively ...