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ICDAR
2003
IEEE
14 years 1 months ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
MICCAI
2004
Springer
14 years 8 months ago
Enhancement of Visual Realism with BRDF for Patient Specific Bronchoscopy Simulation
Abstract. This paper presents a novel method for photorealistic rendering of the bronchial lumen by directly deriving matched shading and texture parameters from video bronchoscope...
Adrian James Chung, Fani Deligianni, Pallav Shah, ...
ICASSP
2010
IEEE
13 years 6 months ago
Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
Thomas J. Riedl, Andrew C. Singer, Jun Won Choi
ANSS
2001
IEEE
13 years 11 months ago
New Multiprotocol WDM/CDMA-Based Optical Switch Architecture
Different switching techniques have been proposed to design optical switch architectures. Wave Division Multiplexing (WDM) techniques were extensively investigated to implement sw...
Driss Benhaddou, Ala I. Al-Fuqaha, Ghulam Chaudhry
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 2 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...