91 search results - page 10 / 19 » Kernel Dimensionality Reduction for Supervised Learning |
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
127
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BMVC
2010
14 years 10 months ago
2010
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
BMCBI
2010
15 years 15 days ago
2010
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
GLOBECOM
2008
IEEE
15 years 6 months ago
2008
IEEE
—MIMO-OFDM wireless systems require adaptive modulation and coding based on channel state information (CSI) to maximize throughput in changing wireless channels. Traditional adap...
111
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...