1313 search results - page 13 / 263 » Dimensionality Reduction for Classification |
104
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NIPS
2004
15 years 3 months ago
2004
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
135
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NIPS
2004
15 years 3 months ago
2004
This paper investigates the effect of Kernel Principal Component Analysis (KPCA) within the classification framework, essentially the regularization properties of this dimensional...
90
Voted
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
102
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
This work presents the application of a novel technique on dimensionality reduction to deal with multispectral images. A distance based on mutual information is used to construct ...
133
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AAAI
2010
14 years 10 months ago
2010
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...