1051 search results - page 129 / 211 » An algorithm for the principal component analysis of large d... |
PR
2008
13 years 8 months ago
2008
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
HIPC
1999
Springer
14 years 17 days ago
1999
Springer
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
SIGMOD
1999
ACM
14 years 18 days ago
1999
ACM
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
ESORICS
2005
Springer
14 years 1 months ago
2005
Springer
The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together...
WABI
2009
Springer
14 years 2 months ago
2009
Springer
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...