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CVPR
2012
IEEE
11 years 9 months ago
Adaptive object tracking by learning background context
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
Ali Borji, Simone Frintrop, Dicky N. Sihite, Laure...
IJAR
2007
130views more  IJAR 2007»
13 years 6 months ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano
IAT
2009
IEEE
14 years 1 months ago
Intelligent Crawling in Virtual Worlds
—We present an intelligent agent crawler designed to collect user-generated content in Second Life and related virtual worlds. The agents navigate autonomously through the world ...
Josh Eno, Susan Gauch, Craig W. Thompson
CHINZ
2007
ACM
13 years 10 months ago
Users dealing with spam and spam filters: some observations and recommendations
The email communication system is threatened by unsolicited commercial email aka spam. In response, spam filters have been deployed widely to help reduce the amount of spam users ...
Christopher Lueg, Sam Martin
RECOMB
2010
Springer
13 years 8 months ago
Subnetwork State Functions Define Dysregulated Subnetworks in Cancer
Abstract. Emerging research demonstrates the potential of proteinprotein interaction (PPI) networks in uncovering the mechanistic bases of cancers, through identification of intera...
Salim A. Chowdhury, Rod K. Nibbe, Mark R. Chance, ...