791 search results - page 53 / 159 » Non-Linear Dimensionality Reduction |
113
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Dimensionality reduction is the problem of finding a low-dimensional representation of highdimensional input data. This paper examines the case where additional information is kno...
123
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WACV
2002
IEEE
15 years 9 months ago
2002
IEEE
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
126
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COMPGEOM
2007
ACM
15 years 8 months ago
2007
ACM
In this paper we show that dimensionality reduction (i.e., Johnson-Lindenstrauss lemma) preserves not only the distances between static points, but also between moving points, and...
127
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NIPS
2004
15 years 5 months ago
2004
We describe a way of using multiple different types of similarity relationship to learn a low-dimensional embedding of a dataset. Our method chooses different, possibly overlappin...
144
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IVC
2007
15 years 4 months ago
2007
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...