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JNS
2008
44views more  JNS 2008»
15 years 4 months ago
The Scaling Attractor and Ultimate Dynamics for Smoluchowski's Coagulation Equations
We describe a basic framework for studying dynamic scaling that has roots in dynamical systems and probability theory. Within this framework, we study Smoluchowski's coagulat...
Govind Menon, Robert L. Pego
ML
1998
ACM
136views Machine Learning» more  ML 1998»
15 years 3 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
FSS
2010
111views more  FSS 2010»
15 years 2 months ago
The geometry of consonant belief functions: Simplicial complexes of necessity measures
In this paper we extend the geometric approach to the theory of evidence in order to include the class of necessity measures, represented on a finite domain of “frame” by con...
Fabio Cuzzolin
CIMAGING
2009
94views Hardware» more  CIMAGING 2009»
15 years 2 months ago
Iterative demosaicking accelerated: theory and fast noniterative implementations
Color image demosaicking is a key process in the digital imaging pipeline. In this paper, we present a rigorous treatment of a classical demosaicking algorithm based on alternatin...
Yue M. Lu, Mina Karzand, Martin Vetterli
CVPR
2011
IEEE
15 years 20 days ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg