108 search results - page 7 / 22 » Greedy Algorithm for a Training Set Reduction in the Kernel ... |
NIPS
2008
13 years 9 months ago
2008
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
PRL
2010
13 years 5 months ago
2010
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
CORR
1999
Springer
13 years 7 months ago
1999
Springer
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...