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NN
1998
Springer
13 years 5 months ago
Temporal photoreception for adaptive dynamic range image sensing and encoding
Vladimir Brajovic, Ryohei Miyagawa, Takeo Kanade
NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 5 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
NC
2002
210views Neural Networks» more  NC 2002»
13 years 5 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
NC
2002
196views Neural Networks» more  NC 2002»
13 years 5 months ago
Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation
Second order statistics have formed the basis of learning and adaptation due to its appeal and analytical simplicity. On the other hand, in many realistic engineering problems requ...
Deniz Erdogmus, José Carlos Príncipe...
NC
2002
13 years 5 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
NC
2002
154views Neural Networks» more  NC 2002»
13 years 5 months ago
Evolution strategies - A comprehensive introduction
Hans-Georg Beyer, Hans-Paul Schwefel
ISCI
2002
120views more  ISCI 2002»
13 years 5 months ago
A class of instantaneously trained neural networks
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
Subhash C. Kak
IR
2002
13 years 5 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan
APIN
1999
110views more  APIN 1999»
13 years 5 months ago
The Connectionist Inductive Learning and Logic Programming System
The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks...
Artur S. d'Avila Garcez, Gerson Zaverucha
IJPRAI
2002
97views more  IJPRAI 2002»
13 years 5 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang