119 search results - page 14 / 24 » Constrained Projection Approximation Algorithms for Principa... |
IPM
2006
13 years 8 months ago
2006
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
NIPS
2003
13 years 9 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
VISUALIZATION
1999
IEEE
14 years 7 days ago
1999
IEEE
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
GLVLSI
2003
IEEE
14 years 1 months ago
2003
IEEE
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...