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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 2 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
NPL
2002
110views more  NPL 2002»
14 years 10 months ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
ESANN
2004
15 years 4 days ago
A biologically plausible neuromorphic system for object recognition and depth analysis
Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
Zhijun Yang, Alan F. Murray
AAAI
1998
15 years 3 days ago
Bayesian Network Models for Generation of Crisis Management Training Scenarios
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
ECCV
2000
Springer
16 years 18 days ago
Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Functions
We describe a method for computing the likelihood that a completion joining two contour fragments passes through any given position and orientation in the image plane, that is, a m...
John W. Zweck, Lance R. Williams