576 search results - page 56 / 116 » Structured metric learning for high dimensional problems |
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
NIPS
2001
13 years 9 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
CSDA
2007
13 years 7 months ago
2007
In this paper we study the problem of bivariate density estimation. The aim is to find a density function with the smallest number of local extreme values which is adequate with ...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
FGR
2004
IEEE
13 years 11 months ago
2004
IEEE
Solving the tracking of an articulated structure in a reasonable time is a complex task mainly due to the high dimensionality of the problem. A new optimization method, called Sto...