86 search results - page 14 / 18 » Clustering and Feature Selection using Sparse Principal Comp... |
ICS
2005
Tsinghua U.
14 years 1 months ago
2005
Tsinghua U.
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
ISCAS
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract-In this paper we present a new scheme for brain imaginary movement invovles sophisticated spatial-temporalsignal processing and classification for electroencephalogram spe...
JCP
2008
13 years 7 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
BMCBI
2007
13 years 7 months ago
2007
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
DAS
2004
Springer
14 years 27 days ago
2004
Springer
This paper presents the result of an adaptive region growing segmentation technique for color document images using an irregular pyramid structure. The emphasis is in the segmentat...