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CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
15 years 4 months ago
Application of the proximal center decomposition method to distributed model predictive control
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Ion Necoara, Dang Doan, Johan A. K. Suykens
ICIP
2007
IEEE
15 years 3 months ago
A General Two-Dimensional Hidden Markov Model and its Application in Image Classification
In this paper, we propose a general two-dimensional hidden Markov model (2D-HMM), where dependency of the state transition probability on any state is allowed as long as causality...
Xiang Ma, Dan Schonfeld, Ashfaq A. Khokhar
IFM
2009
Springer
132views Formal Methods» more  IFM 2009»
15 years 4 months ago
Decomposition Structures for Event-B
Abstract. Event-B provides a flexible approach to modelling and refinement of systems. In this paper we outline two important ways in which Event-B refinement can be augmented w...
Michael Butler
PRICAI
2000
Springer
15 years 1 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
CVPR
2008
IEEE
15 years 11 months ago
Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
Texture information in images is coupled with geometric macrostructures and piecewise-smooth intensity variations. Decomposing an image f into a geometric structure component u an...
Georgios Evangelopoulos, Petros Maragos