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UAI
2003
13 years 9 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
ESWA
2006
149views more  ESWA 2006»
13 years 7 months ago
An effective refinement strategy for KNN text classifier
Due to the exponential growth of documents on the Internet and the emergent need to organize them, the automated categorization of documents into predefined labels has received an...
Songbo Tan
ICIP
2010
IEEE
13 years 5 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang
ICCAD
2009
IEEE
151views Hardware» more  ICCAD 2009»
13 years 5 months ago
Timing yield-aware color reassignment and detailed placement perturbation for double patterning lithography
Double patterning lithography (DPL) is a likely resolution enhancement technique for IC production in 32nm and below technology nodes. However, DPL gives rise to two independent, ...
Mohit Gupta, Kwangok Jeong, Andrew B. Kahng
CIVR
2007
Springer
160views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Automatic image annotation by an iterative approach: incorporating keyword correlations and region matching
Automatic image annotation automatically labels image content with semantic keywords. For instance, the Relevance Model estimates the joint probability of the keyword and the imag...
Xiangdong Zhou, Mei Wang, Qi Zhang, Junqi Zhang, B...