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» Low rank continuous-space graphical models
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JMLR
2012
11 years 7 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
RT
2005
Springer
13 years 10 months ago
Online Construction of Surface Light Fields
We present a system for interactively capturing, constructing, and rendering surface light fields by incrementally building a low rank approximation to the surface light field. ...
Greg Coombe, Chad Hantak, Anselmo Lastra, Radek Gr...
CGF
2007
98views more  CGF 2007»
13 years 4 months ago
Distance-Ranked Connectivity Compression of Triangle Meshes
We present a new, single-rate method for compressing the connectivity information of a connected 2-manifold triangle mesh with or without boundary. Traditional compression schemes...
Patrick Marais, James E. Gain, D. Shreiner
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 3 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 5 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon