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» On the use of spiking neural network for EEG classification
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IJCNN
2007
IEEE
14 years 2 months ago
Neurolinguistic Approach to Vector Representation of Medical Concepts
Abstract—Putative brain processes responsible for understanding language are based on spreading activation in semantic networks, providing enhanced representations that involve c...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
ICPR
2006
IEEE
14 years 9 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...
ICPR
2004
IEEE
14 years 9 months ago
An Efficient Three-Stage Classifier for Handwritten Digit Recognition
This paper proposes an efficient three-stage classifier for handwritten digit recognition based on NN (Neural Network) and SVM (Support Vector Machine) classifiers. The classifica...
Dejan Gorgevik, Dusan Cakmakov
ISNN
2007
Springer
14 years 2 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li
BMVC
2000
13 years 10 months ago
Extraction of Motion Data from Image Sequences to Assist Animators
We describe a system which is designed to assist animators in extracting high-level information from sequences of images. The system is not meant to replace animators, but to be a...
David P. Gibson, Neill W. Campbell, Colin J. Dalto...