1224 search results - page 53 / 245 » On the Optimality of the Dimensionality Reduction Method |
156
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
185
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NIPS
2004
15 years 7 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...
181
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PG
2007
IEEE
16 years 12 days ago
2007
IEEE
Interactive animation systems often use a level-of-detail (LOD) control to reduce the computational cost by eliminating unperceivable details of the scene. Most methods employ a m...
192
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
172
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...