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» Markov constraints: steerable generation of Markov sequences
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110
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ICIAR
2009
Springer
15 years 5 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
SCP
2000
119views more  SCP 2000»
15 years 4 days ago
Automated compositional Markov chain generation for a plain-old telephone system
Obtaining performance models, like Markov chains and queueing networks, for systems of significant complexity and magnitude is a difficult task that is usually tackled using human...
Holger Hermanns, Joost-Pieter Katoen
84
Voted
DAGM
2007
Springer
15 years 6 months ago
Extraction of 3D Unfoliaged Trees from Image Sequences Via a Generative Statistical Approach
In this paper we propose a generative statistical approach for the three dimensional (3D) extraction of the branching structure of unfoliaged deciduous trees from urban image seque...
Hai Huang, Helmut Mayer
103
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CPM
2005
Springer
125views Combinatorics» more  CPM 2005»
15 years 2 months ago
Parametric Analysis for Ungapped Markov Models of Evolution
We present efficient sensitivity-analysis algorithms for two problems involving Markov models of sequence evolution: ancestral reconstruction in evolutionary trees and local ungap...
David Fernández-Baca, Balaji Venkatachalam
CVPR
2003
IEEE
16 years 2 months ago
Video Segmentation Based on Graphical Models
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
Kia-Fock Loe, Tele Tan, Yang Wang 0002