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BMCBI
2007
146views more  BMCBI 2007»
15 years 26 days ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
DC
2008
15 years 25 days ago
Fast computation by population protocols with a leader
Fast algorithms are presented for performing computations in a probabilistic population model. This is a variant of the standard population protocol model--in which finite-state ag...
Dana Angluin, James Aspnes, David Eisenstat
GPEM
2008
98views more  GPEM 2008»
15 years 24 days ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg
IJCV
2008
223views more  IJCV 2008»
15 years 23 days ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
98
Voted
PR
2000
102views more  PR 2000»
15 years 16 days ago
Bayesian face recognition
We propose a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measure of similarity, based primar...
Baback Moghaddam, Tony Jebara, Alex Pentland