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CGF
2007
158views more  CGF 2007»
13 years 7 months ago
Manipulating, Deforming and Animating Sampled Object Representations
A sampled object representation (SOR) defines a graphical model using data obtained from a sampling process, which takes a collection of samples at discrete positions in space in...
Min Chen, Carlos D. Correa, Shoukat Islam, Mark W....
IJCV
2006
299views more  IJCV 2006»
13 years 7 months ago
Graph Cuts and Efficient N-D Image Segmentation
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...
Yuri Boykov, Gareth Funka-Lea
CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 7 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
TOOLS
1999
IEEE
13 years 11 months ago
Employing Object Technology to Expose Fundamental Object Concepts
This paper reports on the utilisation of object technology in a university-level course on software development, specifically designed for distance learning, and now enrolling ove...
Mark Woodman, Robert Griffiths, Simon Holland, Hug...
STOC
2010
ACM
195views Algorithms» more  STOC 2010»
13 years 11 months ago
Efficiently Learning Mixtures of Two Gaussians
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...
Adam Tauman Kalai, Ankur Moitra, and Gregory Valia...