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JMLR
2010
194views more  JMLR 2010»
12 years 11 months ago
A Statistical Implicative Analysis Based Algorithm and MMPC Algorithm for Detecting Multiple Dependencies
Discovering the dependencies among the variables of a domain from examples is an important problem in optimization. Many methods have been proposed for this purpose, but few large...
Elham Salehi, Jayashree Nyayachavadi, Robin Gras
PAMI
2006
193views more  PAMI 2006»
13 years 4 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 6 months ago
Increasing the Expressivity of Conditional Functional Dependencies without Extra Complexity
The paper proposes an extension of CFDs [1], referred to as extended Conditional Functional Dependencies (eCFDs). In contrast to CFDs, eCFDs specify patterns of semantically relate...
Loreto Bravo, Wenfei Fan, Floris Geerts, Shuai Ma
ISBI
2011
IEEE
12 years 8 months ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...
BMCBI
2008
176views more  BMCBI 2008»
13 years 4 months ago
H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments
Background: A multiple sequence alignment (MSA) generated for a protein can be used to characterise residues by means of a statistical analysis of single columns. In addition to t...
Rainer Merkl, Matthias Zwick