785 search results - page 54 / 157 » Semi-Supervised Dimensionality Reduction |
149
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ACL
2010
15 years 1 months ago
2010
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
138
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
140
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ICONIP
2007
15 years 5 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
106
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AAAI
2008
15 years 6 months ago
2008
We are interested in the problem of reasoning over very large common sense knowledge bases. When such a knowledge base contains noisy and subjective data, it is important to have ...
114
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CORR
2010
Springer
15 years 3 months ago
2010
Springer
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...