502 search results - page 84 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
PR
2006
13 years 8 months ago
2006
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
BMCBI
2010
13 years 8 months ago
2010
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
ICPR
2006
IEEE
14 years 2 months ago
2006
IEEE
In this paper, we present a novel method for human action recognition from any arbitrary view image sequence that uses the Cartesian component of optical flow velocity and human ...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...