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ECCV
2008
Springer
14 years 10 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
VTC
2007
IEEE
14 years 3 months ago
Performance Modelling and Analysis of the Sleep-Mode in IEEE802.16e WMAN
In this study, we analyze the sleep-mode operation for power management of a mobile station in the IEEE802.16e Wireless Metropolitan Access Network. For the analysis we use the M/...
Yunju Park, Gang Uk Hwang
TCSV
2002
161views more  TCSV 2002»
13 years 8 months ago
Blocking artifact detection and reduction in compressed data
A novel frequency-domain technique for image blocking artifact detection and reduction is presented in this paper. The algorithm first detects the regions of the image which presen...
George A. Triantafyllidis, Dimitrios Tzovaras, Mic...
ICASSP
2009
IEEE
14 years 3 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
LION
2009
Springer
129views Optimization» more  LION 2009»
14 years 3 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...