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NN
2002
Springer
161views Neural Networks» more  NN 2002»
13 years 11 months ago
AANN: an alternative to GMM for pattern recognition
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
B. Yegnanarayana, S. P. Kishore
NPL
1998
87views more  NPL 1998»
13 years 11 months ago
Constrained Learning in Neural Networks: Application to Stable Factorization of 2-D Polynomials
Adaptive artificial neural network techniques are introduced and applied to the factorization of 2-D second order polynomials. The proposed neural network is trained using a const...
Stavros J. Perantonis, Nikolaos Ampazis, Stavros V...
NN
1998
Springer
112views Neural Networks» more  NN 1998»
13 years 11 months ago
Continuous attractors and oculomotor control
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
H. Sebastian Seung
NN
1998
Springer
13 years 11 months ago
Multiple cusp bifurcations
The cusp bifurcation provides one of the simplest routes leading to bistability and hysteresis in neuron dynamics. We show that weakly connected networks of neurons near cusp bifu...
Eugene M. Izhikevich
NC
2002
13 years 11 months ago
Parallel evolutionary training algorithms for "hardware-friendly" neural networks
In this paper, Parallel Evolutionary Algorithms for integer weight neural network training are presented. To this end, each processor is assigned a subpopulation of potential solut...
Vassilis P. Plagianakos, Michael N. Vrahatis
NCA
1998
IEEE
13 years 11 months ago
A Neural Network Model of a Communication Network with Information Servers
This paper models information flow in a communication network. The network consists of nodes that communicate with each other, and information servers that have a predominantly o...
Philippe De Wilde
IJPRAI
1998
100views more  IJPRAI 1998»
13 years 11 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou
IJON
1998
140views more  IJON 1998»
13 years 11 months ago
Comment on "Discrete-time recurrent neural network architectures: A unifying review"
Paper [1] aimed at providing a unified presentation of neural network architectures. We show in the present comment (i) that the canonical form of recurrent neural networks presen...
Léon Personnaz, Gérard Dreyfus
IJON
2002
219views more  IJON 2002»
13 years 11 months ago
NEURObjects: an object-oriented library for neural network development
NEURObjects is a set of C++ library classes for neural network development, exploiting the potentialities of object-oriented design and programming. The main goal of the library c...
Giorgio Valentini, Francesco Masulli
IJON
2002
120views more  IJON 2002»
13 years 11 months ago
The recognition and analysis of animate objects using neural networks and active contour models
: In this paper we describe a method for tracking walking humans in the visual field. Active contour models are used to track moving objects in a sequence of images. The resulting ...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George