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» Approximating Markov Processes by Averaging
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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 6 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
CORR
2006
Springer
81views Education» more  CORR 2006»
14 years 11 months ago
Universal Filtering via Hidden Markov Modeling
The problem of discrete universal filtering, in which the components of a discrete signal emitted by an unknown source and corrupted by a known discrete memoryless channel (DMC) ar...
Taesup Moon, Tsachy Weissman
QEST
2005
IEEE
15 years 5 months ago
Fluid Flow Approximation of PEPA models
In this paper we present a novel performance analysis technique for large-scale systems modelled in the stochastic process algebra PEPA. In contrast to the well-known approach of ...
Jane Hillston
IPMU
2010
Springer
14 years 10 months ago
Approximation of Data by Decomposable Belief Models
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Radim Jirousek
ICIP
2003
IEEE
16 years 1 months ago
Object localization using texture motifs and Markov random fields
This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multip...
Shawn Newsam, Sitaram Bhagavathy, B. S. Manjunath