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» A Symbolic Out-of-Core Solution Method for Markov Models
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SCVMA
2004
Springer
14 years 29 days ago
Motion Detection Using Wavelet Analysis and Hierarchical Markov Models
This paper deals with the motion detection problem. This issue is of key importance in many application fields. To solve this problem, we compute the dominant motion in the sequen...
Cédric Demonceaux, Djemâa Kachi-Akkou...
ICML
2009
IEEE
14 years 8 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
JMLR
2010
150views more  JMLR 2010»
13 years 2 months ago
Approximate parameter inference in a stochastic reaction-diffusion model
We present an approximate inference approach to parameter estimation in a spatio-temporal stochastic process of the reaction-diffusion type. The continuous space limit of an infer...
Andreas Ruttor, Manfred Opper
WICOMM
2010
91views more  WICOMM 2010»
13 years 6 months ago
A sensing-based cognitive coexistence method for interfering infrastructure and ad hoc systems
The rapid proliferation of wireless systems makes interference management more and more important. This paper presents a novel cognitive coexistence framework, which enables an in...
Stefan Geirhofer, Lang Tong, Brian M. Sadler
PRDC
2006
IEEE
14 years 1 months ago
Detecting and Exploiting Symmetry in Discrete-state Markov Models
Dependable systems are usually designed with multiple instances of components or logical processes, and often possess symmetries that may be exploited in model-based evaluation. T...
W. Douglas Obal II, Michael G. McQuinn, William H....