421 search results - page 9 / 85 » A divide-and-merge methodology for clustering |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Recently a large amount of research has been devoted to
automatic activity analysis. Typically, activities have been
defined by their motion characteristics and represented by
t...
ESANN
2007
13 years 8 months ago
2007
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
DILS
2004
Springer
14 years 24 days ago
2004
Springer
Meaningfully integrating massive multi-experimental genomic data sets is becoming critical for the understanding of gene function. We have recently proposed methodologies for integ...
DATE
2008
IEEE
14 years 1 months ago
2008
IEEE
Keeping diagnostic resolution as high as possible while maximizing the compaction ratio is subject to research since the advent of embedded test. In this paper, we present a novel...
CIKM
2006
Springer
13 years 9 months ago
2006
Springer
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...