1313 search results - page 24 / 263 » Dimensionality Reduction for Classification |
126
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SDM
2007
SIAM
15 years 3 months ago
2007
SIAM
Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...
102
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ACMSE
2005
ACM
15 years 7 months ago
2005
ACM
This paper explores a method for re-sequencing an existing set of animation, specifically motion capture data, to generate new motion. Re-using animation is helpful in designing ...
106
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ADAC
2010
14 years 11 months ago
2010
In this paper we propose a robust classification rule for skewed unimodal distributions. For low dimensional data, the classifier is based on minimizing the adjusted outlyingness t...
161
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
114
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JMLR
2006
15 years 1 months ago
2006
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...