356 search results - page 22 / 72 » Solving the Small Sample Size Problem of LDA |
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...
NIPS
2008
13 years 9 months ago
2008
We study the behavior of block 1/ 2 regularization for multivariate regression, where a K-dimensional response vector is regressed upon a fixed set of p covariates. The problem of...
INFORMATICALT
2000
13 years 7 months ago
2000
Methods for solving stochastic optimization problems by Monte-Carlo simulation are considered. The stoping and accuracy of the solutions is treated in a statistical manner, testing...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...