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» Learning the Structure of Deep Sparse Graphical Models
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MICCAI
2007
Springer
14 years 2 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
PG
1997
IEEE
14 years 25 days ago
Real-time virtual humans
The last few years have seen great maturationin the computation speed and control methods needed to portray 3D virtualhumanssuitableforreal interactiveapplications. We first desc...
Norman I. Badler
CORR
2011
Springer
174views Education» more  CORR 2011»
13 years 12 days ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
RT
1998
Springer
14 years 25 days ago
Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping
Abstract. This paper presents how the image-based rendering technique of viewdependent texture-mapping (VDTM) can be efficiently implemented using projective texture mapping, a fea...
Paul E. Debevec, Yizhou Yu, George Borshukov
JMLR
2006
118views more  JMLR 2006»
13 years 8 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng