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AMAI
2008
Springer
13 years 7 months ago
Mixed deterministic and probabilistic networks
Abstract The paper introduces mixed networks, a new graphical model framework for expressing and reasoning with probabilistic and deterministic information. The motivation to devel...
Robert Mateescu, Rina Dechter
TOG
2010
142views more  TOG 2010»
13 years 2 months ago
Free-flowing granular materials with two-way solid coupling
We present a novel continuum-based model that enables efficient simulation of granular materials. Our approach fully solves the internal pressure and frictional stresses in a gran...
Rahul Narain, Abhinav Golas, Ming C. Lin
ICML
2004
IEEE
14 years 8 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
SIGGRAPH
1999
ACM
13 years 11 months ago
Multiresolution Signal Processing for Meshes
We generalize basic signal processing tools such as downsampling, upsampling, and filters to irregular connectivity triangle meshes. This is accomplished through the design of a ...
Igor Guskov, Wim Sweldens, Peter Schröder
CVPR
2011
IEEE
13 years 3 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell