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» Learning Probabilistic Models of Link Structure
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RECOMB
2002
Springer
16 years 2 days ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
MM
2010
ACM
174views Multimedia» more  MM 2010»
14 years 12 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
CVPR
2003
IEEE
16 years 1 months ago
PAMPAS: Real-Valued Graphical Models for Computer Vision
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Michael Isard
GECCO
2004
Springer
15 years 5 months ago
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...
CORR
2007
Springer
162views Education» more  CORR 2007»
14 years 11 months ago
Exploiting Social Annotation for Automatic Resource Discovery
Information integration applications, such as mediators or mashups, that require access to information resources currently rely on users manually discovering and integrating them ...
Anon Plangprasopchok, Kristina Lerman