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CVPR
2007
IEEE
15 years 11 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
ESWA
2008
152views more  ESWA 2008»
14 years 9 months ago
Collaborative recommender systems: Combining effectiveness and efficiency
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendatio...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...
ICCAD
2007
IEEE
113views Hardware» more  ICCAD 2007»
15 years 6 months ago
Combinational and sequential mapping with priority cuts
An algorithm for technology mapping of combinational and sequential logic networks is proposed and applied to mapping into K-input lookup-tables (K-LUTs). The new algorithm avoids...
Alan Mishchenko, Sungmin Cho, Satrajit Chatterjee,...
ILP
2007
Springer
15 years 3 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
JVCIR
2006
85views more  JVCIR 2006»
14 years 9 months ago
Combining geometrical and textured information to perform image classification
In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. U...
Jean-François Aujol, Tony F. Chan