340 search results - page 43 / 68 » Linear Dependent Dimensionality Reduction |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
NIPS
2007
13 years 9 months ago
2007
Maximum variance unfolding (MVU) is an effective heuristic for dimensionality reduction. It produces a low-dimensional representation of the data by maximizing the variance of the...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...