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ENC
2004
IEEE
14 years 13 days ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
CVIU
2006
162views more  CVIU 2006»
13 years 8 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
QUESTA
2006
119views more  QUESTA 2006»
13 years 8 months ago
Single-Server Queue with Markov-Dependent Inter-Arrival and Service Times
In this paper we study a single-server queue where the inter-arrival times and the service times depend on a common discrete time Markov Chain. This model generalizes the well-kno...
Ivo J. B. F. Adan, Vidyadhar G. Kulkarni
CSDA
2011
13 years 3 months ago
Approximate forward-backward algorithm for a switching linear Gaussian model
Motivated by the application of seismic inversion in the petroleum industry we consider a hidden Markov model with two hidden layers. The bottom layer is a Markov chain and given ...
Hugo Hammer, Håkon Tjelmeland
DSN
2008
IEEE
14 years 3 months ago
A recurrence-relation-based reward model for performability evaluation of embedded systems
Embedded systems for closed-loop applications often behave as discrete-time semi-Markov processes (DTSMPs). Performability measures most meaningful to iterative embedded systems, ...
Ann T. Tai, Kam S. Tso, William H. Sanders