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CEC
2008
IEEE
15 years 4 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
IJCAI
2001
14 years 11 months ago
Learning Iterative Image Reconstruction
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
Sven Behnke
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
14 years 9 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
IWANN
2001
Springer
15 years 2 months ago
Neuro-Fuzzy Nets in Medical Diagnosis: The DIAGEN Case Study of Glaucoma
This work presents an approach to the automatic interpretation of the visual field to enable ophthalmology patients to be classified as glaucomatous and normal. The approach is bas...
Enrique J. Carmona, José Mira, Juliá...
PR
2011
14 years 4 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos