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» Unifying Theories of Objects
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TSP
2008
89views more  TSP 2008»
13 years 9 months ago
Optimal Filters on the Sphere
We derive optimal filters on the sphere in the context of detecting compact objects embedded in a stochastic background process. The matched filter and the scale adaptive filter ar...
Jason D. McEwen, Michael P. Hobson, Anthony N. Las...
AI
2008
Springer
13 years 9 months ago
Pouring liquids: A study in commonsense physical reasoning
This paper presents a theory that supports commonsense, qualitative reasoning about the flow of liquid around slowly moving solid objects; specifically, inferring that liquid can ...
Ernest Davis
CVPR
2004
IEEE
14 years 11 months ago
Bayesian Video Matting Using Learnt Image Priors
Video matting, or layer extraction, is a classic inverse problem in computer vision that involves the extraction of foreground objects, and the alpha mattes that describe their op...
Nicholas Apostoloff, Andrew W. Fitzgibbon
ECEASST
2008
121views more  ECEASST 2008»
13 years 9 months ago
Analyzing Semantic Properties of OCL Operations by Uncovering Interoperational Relationships
The OCL (Object Constraint Language) as part of the UML (Unified Modeling Language) is a rich language with different collection kinds (sets, multi-sets, sequences) and a large var...
Mirco Kuhlmann, Martin Gogolla
NIPS
1998
13 years 10 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore