1789 search results - page 125 / 358 » Genetic Algorithms for Component Analysis |
134
Voted
SDM
2007
SIAM
15 years 4 months ago
2007
SIAM
We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace...
130
Voted
ICDAR
2011
IEEE
14 years 3 months ago
2011
IEEE
—Because of writing styles of different individuals, some of the text-lines may be curved in shape. For recognition of such text-lines, their proper alignment is necessary. In th...
127
Voted
TNN
2008
15 years 3 months ago
2008
In this paper, we use complex analytic functions to achieve independent component analysis (ICA) by maximization of non-Gaussianity and introduce the complex maximization of nonGau...
125
Voted
ICIP
2008
IEEE
15 years 10 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
124
Voted
SSDBM
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...