910 search results - page 26 / 182 » Progressive Principal Component Analysis |
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
IJCNN
2000
IEEE
14 years 8 hour ago
2000
IEEE
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
ISBI
2007
IEEE
14 years 1 months ago
2007
IEEE
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...