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» Modeling interleaved hidden processes
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STAIRS
2008
175views Education» more  STAIRS 2008»
13 years 6 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
ICIP
2005
IEEE
14 years 6 months ago
Interleaved S+P pyramidal decomposition with refined prediction model
Scalability and others functionalities such as the Region of Interest encoding become essential properties of an efficient image coding scheme. Within the framework of lossless co...
Joseph Ronsin, Marie Babel, Olivier Déforge...
ICASSP
2011
IEEE
12 years 8 months ago
A methodology based on Transportation problem modeling for designing parallel interleaver architectures
For high-data-rate applications, turbo-like iterative decoders are implemented with parallel hardware architecture. However, to achieve high throughput, concurrent accesses to each...
Awais Sani, Philippe Coussy, Cyrille Chavet, Eric ...
ICPR
2008
IEEE
14 years 6 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
ANSS
2006
IEEE
13 years 11 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...