540 search results - page 4 / 108 » Dimensionality Reduction for Data in Multiple Feature Repres... |
BMVC
2010
13 years 4 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
SAC
2006
ACM
14 years 16 days ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
CBMS
2005
IEEE
13 years 8 months ago
2005
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper, we present a novel approach to solving the supervised dimensionality reduction problem by encoding an image object as a general tensor of 2nd or higher order. First...
PAMI
2007
13 years 6 months ago
2007
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...