288 search results - page 36 / 58 » Inclusion Problems for Patterns with a Bounded Number of Var... |
PREMI
2005
Springer
14 years 1 months ago
2005
Springer
We address the problem of fusing sparse and noisy depth data obtained from a range finder with features obtained from intensity images to estimate ego-motion and refine 3D struct...
BMCBI
2008
13 years 7 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
BMCBI
2007
2007
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
13 years 7 months ago
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Publication
In this paper we address the problem of defining a measure of diversity for a population of individuals whose genome can be subjected to major reorganizations during the evolution...
ICFCA
2009
Springer
14 years 2 months ago
2009
Springer
Matrix decomposition methods provide representations of an object-variable data matrix by a product of two different matrices, one describing relationship between objects and hidd...