1313 search results - page 9 / 263 » Dimensionality Reduction for Classification |
ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
As an alternative to standard PCA, matrix-based image dimensionality reduction methods have recently been proposed and have gained attention due to reported computational efficie...
ICIP
2005
IEEE
16 years 1 months ago
2005
IEEE
The problem of appearance-based recognition of faces and facial expressions is addressed. Previous work on sliced inverse regression (SIR) resulted in the formulation of an appear...
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Voted
ICML
2006
IEEE
16 years 15 days ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
ICML
2003
IEEE
16 years 15 days 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 ...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...