278 search results - page 4 / 56 » Fast Feature Selection Using Fractal Dimension |
ICML
2007
IEEE
16 years 12 days ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
108
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ICDM
2006
IEEE
15 years 5 months ago
2006
IEEE
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
114
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JMLR
2008
14 years 11 months ago
2008
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
101
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CVPR
2010
IEEE
14 years 10 months ago
2010
IEEE
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...