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» Approximating Markov Processes by Averaging
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WSCG
2004
217views more  WSCG 2004»
15 years 3 months ago
Blending Textured Images Using a Non-parametric Multiscale MRF Method
In this paper we describe a new method for improving the representation of textures in blends of multiple images based on a Markov Random Field (MRF) algorithm. We show that direc...
Bernard Tiddeman
CDC
2010
IEEE
100views Control Systems» more  CDC 2010»
14 years 9 months ago
A resistance-based approach to consensus algorithm performance analysis
Abstract-We study the well known linear consensus algorithm by means of a LQ-type performance cost. We want to understand how the communication topology influences this algorithm. ...
Federica Garin, Enrico Lovisari, Sandro Zampieri
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
15 years 8 months ago
Oblivious equilibrium for large-scale stochastic games with unbounded costs
— We study stochastic dynamic games with a large number of players, where players are coupled via their cost functions. A standard solution concept for stochastic games is Markov...
Sachin Adlakha, Ramesh Johari, Gabriel Y. Weintrau...

Book
778views
17 years 4 days ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
QEST
2008
IEEE
15 years 8 months ago
Quasi-Birth-Death Processes, Tree-Like QBDs, Probabilistic 1-Counter Automata, and Pushdown Systems
We begin by observing that (discrete-time) QuasiBirth-Death Processes (QBDs) are equivalent, in a precise sense, to (discrete-time) probabilistic 1-Counter Automata (p1CAs), and b...
Kousha Etessami, Dominik Wojtczak, Mihalis Yannaka...