255 search results - page 24 / 51 » Sampling Sparse Signals on the Sphere: Algorithms and Applic... |
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
The tracking performance of adaptive filters is crucially important in practical applications involving time-varying systems. We present an analysis of the tracking performance f...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Common Spatial Pattern (CSP) is widely used in discriminating two classes of EEG in Brain Computer Interface applications. However, the performance of the CSP algorithm is affecte...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
74
Voted
INTERSPEECH
2010
14 years 4 months ago
2010
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...