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109
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CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
15 years 2 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
156
Voted
SMA
2008
ACM
139views Solid Modeling» more  SMA 2008»
15 years 2 months ago
An incremental approach to feature aligned quad dominant remeshing
In this paper we present a new algorithm which turns an unstructured triangle mesh into a quad-dominant mesh with edges aligned to the principal directions of the underlying geome...
Yu-Kun Lai, Leif Kobbelt, Shi-Min Hu
VC
2008
132views more  VC 2008»
15 years 2 months ago
Caustic spot light for rendering caustics
It is difficult to render caustic patterns at interactive frame rates. This paper introduces new rendering techniques that relax current constraints, allowing scenes with moving, n...
Xinguo Liu, Zhao Dong, Hujun Bao, Qunsheng Peng
141
Voted
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 1 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
155
Voted
MMM
2011
Springer
234views Multimedia» more  MMM 2011»
14 years 6 months ago
Image Super-Resolution by Vectorizing Edges
As the resolution of output device increases, the demand of high resolution contents has become more eagerly. Therefore, the image superresolution algorithms become more important....
Chia-Jung Hung, Chun-Kai Huang, Bing-Yu Chen