5128 search results - page 54 / 1026 » Discrete Component Analysis |
88
Voted
IJON
2006
15 years 15 days ago
2006
Abstract. Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented...
115
Voted
PRL
2006
15 years 13 days ago
2006
A straight line detection algorithm is presented. The algorithm separates row and column edges from edge image using their primitive shapes. The edges are labeled, and the princip...
100
Voted
INTERSPEECH
2010
14 years 7 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 ...
105
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CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
AMCS
2008
15 years 19 days ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...