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IPCV
2008
15 years 7 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop
TR
2010
140views Hardware» more  TR 2010»
15 years 1 months ago
Modeling Failure Modes for Residual Life Prediction Using Stochastic Filtering Theory
This paper reports on a theoretical Bayesian modeling development for residual life prediction in the context of condition-based maintenance. At each monitoring point during a comp...
Matthew J. Carr, Wenbin Wang
ICIAP
2001
Springer
15 years 11 months ago
A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems
A dynamical model for retinal processing is presented. The model describes the output of retinal ganglion cells whose receptive field is composed of a center and a surround combi...
Matthias S. Keil, Gabriel Cristóbal, Heiko ...
CORR
2007
Springer
75views Education» more  CORR 2007»
15 years 6 months ago
Wavelet Based Semi-blind Channel Estimation For Multiband OFDM
— This paper introduces an expectation-maximization (EM) algorithm within a wavelet domain Bayesian framework for semi-blind channel estimation of multiband OFDM based UWB commun...
Sajad Sadough, Mahieddine Ichir, Emmanuel Jaffrot,...
SAT
2005
Springer
145views Hardware» more  SAT 2005»
15 years 12 months ago
A New Approach to Model Counting
We introduce ApproxCount, an algorithm that approximates the number of satisfying assignments or models of a formula in propositional logic. Many AI tasks, such as calculating degr...
Wei Wei, Bart Selman