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NIPS
2008
13 years 9 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
CGF
2006
132views more  CGF 2006»
13 years 7 months ago
Verification of Physically Based Rendering Algorithms
Within computer graphics, the field of predictive rendering is concerned with those methods of image synthesis which yield results that do not only look real, but are also radiome...
Christiane Ulbricht, Alexander Wilkie, Werner Purg...
VISUALIZATION
2002
IEEE
14 years 13 days ago
Exploring Surface Characteristics with Interactive Gaussian Images (A Case Study)
The Gauss map projects surface normals to a unit sphere, providing a powerful visualization of the geometry of a graphical object. It can be used to predict visual events caused b...
Bradley C. Lowekamp, Penny Rheingans, Terry S. Yoo
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 5 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
ACG
2006
Springer
14 years 1 months ago
An Event-Based Pool Physics Simulator
A method to simulate the physics of the game of pool is presented. The method is based upon a parametrization of ball motion which allows the time of occurrence of events, such as...
Will Leckie, Michael A. Greenspan