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» Learning a Generative Model for Structural Representations
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ICML
2004
IEEE
14 years 8 months ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson
CVPR
2005
IEEE
14 years 9 months ago
Cloth Representation by Shape from Shading with Shading Primitives
Cloth is a complex visual pattern with flexible 3D shape and illumination variations. Computing the 3D shape of cloth from a single image is of great interest to both computer gra...
Feng Han, Song Chun Zhu
EDM
2008
169views Data Mining» more  EDM 2008»
13 years 9 months ago
Mining Student Behavior Models in Learning-by-Teaching Environments
This paper discusses our approach to building models and analyzing student behaviors in different versions of our learning by teaching environment where students learn by teaching ...
Hogyeong Jeong, Gautam Biswas
ICIP
2010
IEEE
13 years 5 months ago
Image modeling and enhancement via structured sparse model selection
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
ECAI
2008
Springer
13 years 9 months ago
Optimal Coalition Structure Generation In Partition Function Games
1 In multi-agent systems (MAS), coalition formation is typically studied using characteristic function game (CFG) representations, where the performance of any coalition is indepen...
Tomasz P. Michalak, Andrew Dowell, Peter McBurney,...