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» Structured Learning with Approximate Inference
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COMSWARE
2008
IEEE
13 years 9 months ago
Extracting dense communities from telecom call graphs
Social networks refer to structures made of nodes that represent people or other entities embedded in a social context, and whose edges represent interaction between entities. Typi...
Vinayaka Pandit, Natwar Modani, Sougata Mukherjea,...
BMCBI
2008
132views more  BMCBI 2008»
13 years 7 months ago
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
Raffaele Giancarlo, Davide Scaturro, Filippo Utro
BMCBI
2006
143views more  BMCBI 2006»
13 years 7 months ago
IsoSVM - Distinguishing isoforms and paralogs on the protein level
Background: Recent progress in cDNA and EST sequencing is yielding a deluge of sequence data. Like database search results and proteome databases, this data gives rise to inferred...
Michael Spitzer, Stefan Lorkowski, Paul Cullen, Al...
KI
2010
Springer
13 years 5 months ago
Spatial Cognition: Reasoning, Action, Interaction
ut spatial environments, be it real or abstract, human or machine. Research issues range from human spatial cognition to mobile robot navigation. Numerous results have been obtaine...
Christian Freksa, Holger Schultheis, Kerstin Schil...
CVPR
2006
IEEE
14 years 9 months ago
A Generative-Discriminative Hybrid Method for Multi-View Object Detection
We present a novel discriminative-generative hybrid approach in this paper, with emphasis on application in multiview object detection. Our method includes a novel generative mode...
DongQing Zhang, Shih-Fu Chang