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TSP
2010
13 years 14 days ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
VRML
2000
ACM
13 years 10 months ago
3D behavioral model design for simulation and software engineering
Modeling is used to build structures that serve as surrogates for other objects. As children, we learn to model at a very young age. An object such as a small toy train teaches us...
Paul A. Fishwick
CONIELECOMP
2006
IEEE
13 years 12 months ago
Integrating Advanced GLSL Shading and XML Agents into a Learning-Oriented 3D Engine
Most of the existing 3D engines are overwhelmingly complex and do not integrate support for virtual characters. We have developed a teaching oriented 3D engine with support for su...
Edgar Velázquez-Armendáriz, Erik Mil...
EDBT
2008
ACM
112views Database» more  EDBT 2008»
14 years 5 months ago
Ownership protection of shape datasets with geodesic distance preservation
Protection of one's intellectual property is a topic with important technological and legal facets. The significance of this issue is amplified nowadays due to the ease of da...
Michail Vlachos, Claudio Lucchese, Deepak Rajan, P...
CVPR
2010
IEEE
14 years 2 months ago
Optimizing One-Shot Recognition with Micro-Set Learning
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...