1313 search results - page 87 / 263 » Dimensionality Reduction for Classification |
119
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NIPS
2003
15 years 4 months ago
2003
We propose a non-linear Canonical Correlation Analysis (CCA) method which works by coordinating or aligning mixtures of linear models. In the same way that CCA extends the idea of...
144
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ICPR
2000
IEEE
15 years 6 months ago
2000
IEEE
This paper proposes a novel approach to color texture characterization and classification. Rather than developing new textural features, we propose to derive a family of new, redu...
116
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IJCV
2008
15 years 3 months ago
2008
For software and more illustrations: http://www.psi.utoronto.ca/anitha/fastTCA.htm Dimensionality reduction techniques such as principal component analysis and factor analysis are...
152
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PAKDD
2005
ACM
15 years 8 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
144
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ICMLA
2009
15 years 29 days ago
2009
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...