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ICPR
2004
IEEE
16 years 29 days ago
Dining Activity Analysis Using a Hidden Markov Model
We describe an algorithm for dining activity analysis in a nursing home. Based on several features, including motion vectors and distance between moving regions in the subspace of...
Alexander G. Hauptmann, Ashok Bharucha, Howard D. ...
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 6 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
15 years 5 months ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr
ICIAR
2009
Springer
15 years 4 months ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng
PAPM
2001
Springer
126views Mathematics» more  PAPM 2001»
15 years 4 months ago
Beyond Memoryless Distributions: Model Checking Semi-Markov Chains
Abstract. Recent investigations have shown that the automated verification of continuous-time Markov chains (CTMCs) against CSL (Continuous Stochastic Logic) can be performed in a...
Gabriel G. Infante López, Holger Hermanns, ...