791 search results - page 53 / 159 » Non-Linear Dimensionality Reduction |
138
click to vote
ICML
2005
IEEE
16 years 6 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...
148
click to vote
WACV
2002
IEEE
15 years 11 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...
143
click to vote
COMPGEOM
2007
ACM
15 years 10 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...
154
click to vote
NIPS
2004
15 years 7 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...
171
click to vote
IVC
2007
15 years 5 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...