38 search results - page 6 / 8 » Dimensionality Reduction and Clustering on Statistical Manif... |
KDD
2007
ACM
14 years 7 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
BMCBI
2011
13 years 2 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
ICCV
2009
IEEE
15 years 10 days ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
SDM
2008
SIAM
13 years 8 months ago
2008
SIAM
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...