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JMIV
2008
119views more  JMIV 2008»
15 years 7 months ago
An Improved Hybrid Model for Molecular Image Denoising
Abstract In this paper an improved hybrid method for removing noise from low SNR molecular images is introduced. The method provides an improvement over the one suggested by Jian L...
Jeny Rajan, K. Kannan, M. R. Kaimal
NN
2008
Springer
104views Neural Networks» more  NN 2008»
15 years 6 months ago
Recognizing emotions expressed by body pose: A biologically inspired neural model
Research into the visual perception of human emotion has traditionally focused on the facial expression of emotions. Recently researchers have turned to the more challenging field...
Konrad Schindler, Luc J. Van Gool, Béatrice...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 6 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
TASLP
2008
104views more  TASLP 2008»
15 years 6 months ago
A New Model-Based Algorithm for Optimizing the MPEG-AAC in MS-Stereo
Abstract--In this paper, a new model-based algorithm for optimizing the MPEG-Advanced Audio Coder (AAC) in MS-stereo mode is presented. This algorithm is an extension to stereo sig...
Olivier Derrien, Gaël Richard
CJ
2004
141views more  CJ 2004»
15 years 6 months ago
Modeling and Analysis of a Scheduled Maintenance System: a DSPN Approach
This paper describes a way to manage the modeling and analysis of Scheduled Maintenance Systems (SMS) within an analytically tractable context. We chose a significant case study h...
Andrea Bondavalli, Roberto Filippini