1789 search results - page 15 / 358 » Genetic Algorithms for Component Analysis |
107
Voted
ISNN
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
PR
2006
14 years 9 months ago
2006
Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
FMCAD
2000
Springer
15 years 1 months ago
2000
Springer
We present a symbolic algorithm for strongly connected component decomposition. The algorithm performs (n log n) image and preimage computations in the worst case, where n is the n...
ICA
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
NN
2000
Springer
14 years 9 months ago
2000
Springer
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...