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» A Theory of Mean Field Approximation
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POPL
2010
ACM
15 years 7 months ago
A Theory of Indirection via Approximation
Building semantic models that account for various kinds of indirect reference has traditionally been a difficult problem. Indirect reference can appear in many guises, such as hea...
Aquinas Hobor, Robert Dockins, Andrew W. Appel
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
15 years 6 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
ICRA
1998
IEEE
118views Robotics» more  ICRA 1998»
15 years 2 months ago
A General Theory for Positioning and Orienting 2D Polygonal or Curved Parts using Intelligent Motion Surfaces
: In this paper we present novel algorithms to compute quasi-static and dynamic equilibrium positions and orientations (if any) of 2D polygonal or curved parts placed on general sh...
Murilo G. Coutinho, Peter M. Will
JAIR
2008
135views more  JAIR 2008»
14 years 10 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
ASAP
2003
IEEE
99views Hardware» more  ASAP 2003»
15 years 1 months ago
Using Group Theory to Specify Application Specific Interconnection Networks for SIMD DSPs
We introduce another view of group theory in the field of interconnection networks. With this approach it is possible to specify application specific network topologies for permut...
Thorsten Dräger, Gerhard Fettweis