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IPCV
2008
15 years 6 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
143
Voted
TR
2010
140views Hardware» more  TR 2010»
14 years 11 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
143
Voted
ICIAP
2001
Springer
15 years 9 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 5 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 10 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