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» Optimization by Stochastic Continuation
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115
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CONCUR
2008
Springer
15 years 5 months ago
Abstraction for Stochastic Systems by Erlang's Method of Stages
ion for Stochastic Systems by Erlang's Method of Stages Joost-Pieter Katoen1 , Daniel Klink1 , Martin Leucker2 , and Verena Wolf3 1 RWTH Aachen University 2 TU Munich 3 EPF La...
Joost-Pieter Katoen, Daniel Klink, Martin Leucker,...
125
Voted
ICCAD
2005
IEEE
106views Hardware» more  ICCAD 2005»
15 years 9 months ago
Fast balanced stochastic truncation via a quadratic extension of the alternating direction implicit iteration
— Balanced truncation (BT) model order reduction (MOR) is known for its superior accuracy and computable error bounds. Balanced stochastic truncation (BST) is a particular BT pro...
Ngai Wong, Venkataramanan Balakrishnan
145
Voted
ECCV
2010
Springer
15 years 8 months ago
A Stochastic Graph Evolution Framework for Robust Multi-Target Tracking
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...
97
Voted
CORR
2010
Springer
84views Education» more  CORR 2010»
15 years 3 months ago
Left-Inverses of Fractional Laplacian and Sparse Stochastic Processes
The fractional Laplacian (-)/2 commutes with the primary coordination transformations in the Euclidean space Rd: dilation, translation and rotation, and has tight link to splines, ...
Qiyu Sun, Michael Unser
152
Voted
NIPS
2004
15 years 5 months ago
The Convergence of Contrastive Divergences
This paper analyses the Contrastive Divergence algorithm for learning statistical parameters. We relate the algorithm to the stochastic approximation literature. This enables us t...
Alan L. Yuille