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PERCOM
2007
ACM
16 years 4 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
137
Voted
CVGIP
2007
136views more  CVGIP 2007»
15 years 4 months ago
Contour-based surface reconstruction using MPU implicit models
This paper presents a technique for creating a smooth, closed surface from a set of 2D contours, which have been extracted from a 3D scan. The technique interprets the pixels that...
Ilya Braude, Jeffrey Marker, Ken Museth, Jonathan ...
CORR
2006
Springer
87views Education» more  CORR 2006»
15 years 4 months ago
Synchronization recovery and state model reduction for soft decoding of variable length codes
Abstract-- Variable length codes (VLCs) exhibit desynchronization problems when transmitted over noisy channels. Trellis decoding techniques based on Maximum A Posteriori (MAP) est...
Simon Malinowski, Herve Jegou, Christine Guillemot
ICDAR
2011
IEEE
14 years 4 months ago
On-line Handwritten Japanese Characters Recognition Using a MRF Model with Parameter Optimization by CRF
— This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese cha...
Bilan Zhu, Masaki Nakagawa
ICASSP
2011
IEEE
14 years 8 months ago
A Bernoulli-Gaussian model for gene factor analysis
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...