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TKDE
2010
224views more  TKDE 2010»
13 years 2 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
MLG
2007
Springer
13 years 10 months ago
Web Graph Parameters and the Pagerank Distribution
Yana Volkovich, Nelly Litvak, Debora Donato
ISVC
2009
Springer
13 years 11 months ago
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
Mustafa Berkay Yilmaz, Hakan Erdogan, Mustafa Unel
CVPR
2008
IEEE
14 years 6 months ago
Learning stick-figure models using nonparametric Bayesian priors over trees
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
Edward Meeds, David A. Ross, Richard S. Zemel, Sam...
ICML
2010
IEEE
13 years 5 months ago
Budgeted Distribution Learning of Belief Net Parameters
Liuyang Li, Barnabás Póczos, Csaba S...