502 search results - page 66 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
74
Voted
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
ECCV
2006
Springer
15 years 1 months ago
2006
Springer
In this paper we propose a novel approach for the spatial segmentation of video sequences containing multiple temporal textures. This work is based on the notion that a single tem...
MICCAI
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Several sources of uncertainties in shape boundaries in medical images have motivated the use of probabilistic labeling approaches. Although it is well-known that the sam...
ICA
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...