6368 search results - page 1071 / 1274 » Modeling Problem Transformations based on Data Complexity |
172
click to vote
NIPS
2008
15 years 7 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
174
click to vote
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
172
click to vote
HICSS
2003
IEEE
15 years 11 months ago
2003
IEEE
This paper describes a methodology that could be used by a utility to estimate the actual cost of congestion on its transmission system using limited, non-state estimator data. Th...
156
click to vote
ICIP
2007
IEEE
16 years 22 days ago
2007
IEEE
Numerous approaches for distributed video coding have been recently proposed. One of main motivations for these techniques is the possibility of achieving complexity tradeoffs bet...
186
click to vote
ICA
2007
Springer
15 years 8 months ago
2007
Springer
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...