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» Learning to combine distances for complex representations
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CVPR
2012
IEEE
12 years 12 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
ICPADS
2008
IEEE
15 years 3 months ago
Plug: Virtual Worlds for Millions of People
We propose the design of Plug, an application to find and keep contacts with friends within many inter-connected 3D virtual worlds. Users use an instant messenger (IM)-like inter...
Shun-Yun Hu, Jehn-Ruey Jiang
COGSCI
2010
147views more  COGSCI 2010»
14 years 7 months ago
Beyond Core Knowledge: Natural Geometry
For many centuries, philosophers and scientists have pondered the origins and nature of human intuitions about the properties of points, lines, and figures on the Euclidean plane,...
Elizabeth S. Spelke, Sang Ah Lee, Véronique...
SEMCO
2007
IEEE
15 years 3 months ago
Modeling Discriminative Global Inference
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
Nicholas Rizzolo, Dan Roth
CORR
2010
Springer
193views Education» more  CORR 2010»
14 years 8 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor