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ICIP
2002
IEEE
16 years 8 months ago
Modeling object classes in aerial images using hidden Markov models
A canonical model is proposed for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections ...
Shawn Newsam, Sitaram Bhagavathy, B. S. Manjunath
ICIP
2001
IEEE
16 years 8 months ago
Disparity map restoration by integration of confidence in Markov random fields models
This paper proposes some Markov Random Field (MRF) models for restoration of stereo disparity maps. The main aspect is the use of confidence maps provided by the Symmetric Multipl...
Andrea Fusiello, Umberto Castellani, Vittorio Muri...
KI
2009
Springer
16 years 1 months ago
Machine Learning Techniques for Selforganizing Combustion Control
Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...
Erik Schaffernicht, Volker Stephan, Klaus Debes, H...
CEC
2008
IEEE
16 years 1 months ago
GPU based extraction of moving objects without shadows under intensity changes
— This paper proposes a GPU based algorithm for extracting moving objects in real time. The whole process of the proposed approach is handled on GPU. GPU is used for acceleration...
Shinji Fukui, Yuji Iwahori, Robert J. Woodham
ICASSP
2008
IEEE
16 years 1 months ago
Cepstral domain feature compensation based on diagonal approximation
In this paper, we propose a novel approach to feature compensation performed in the cepstral domain. We apply the linear approximation method in the cepstral domain to simplify th...
Woohyung Lim, Chang Woo Han, Jong Won Shin, Nam So...