• Publications
  • Influence
Concurrent self-organizing maps for pattern classification
  • V. Neagoe, A. Ropot
  • Computer Science
  • Proceedings First IEEE International Conference…
  • 19 August 2002
We present a new neural classification model called concurrent self-organizing maps (CSOM), representing a winner-takes-all collection of small SOM networks. Each SOM of the system is trainedExpand
  • 75
  • 4
Chebyshev nonuniform sampling cascaded with the discrete cosine transform for optimum interpolation
  • V. Neagoe
  • Computer Science, Mathematics
  • IEEE Trans. Acoust. Speech Signal Process.
  • 1 October 1990
A method for discrete representation of signals consisting of a cascade of Chebyshev nonuniform sampling (CNS) followed by the discrete cosine transform (DCT) is presented. It is proven that theExpand
  • 14
  • 2
A Neuro-Fuzzy Approach to Classification of ECG Signals for Ischemic Heart Disease Diagnosis
The paper focuses on the neuro-fuzzy classifier called Fuzzy-Gaussian Neural Network (FGNN) to recognize the ECG signals for Ischemic Heart Disease (IHD) diagnosis. The proposed ECG processingExpand
  • 35
  • 1
An Optimum 2D Color Space for Pattern Recognition
This paper presents an optimum color conversion from the 3D RGB space into a 2D selected space to the purpose of pattern recognition. The method is based on the Karhunen-Loeve transform (KLT), alsoExpand
  • 23
  • 1
Feature selection with Ant Colony Optimization and its applications for pattern recognition in space imagery
This paper presents a feature selection (FS) algorithm using Ant Colony Optimization (ACO). It is inspired by the particular behavior of real ants, namely by the fact that they are capable of findingExpand
  • 9
  • 1
Face Recognition using PCA versus ICA versus LDA cascaded with the neural classifier of Concurrent Self-Organizing Maps
We present a comparison of three feature selection methods for face recognition: Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Linear Discriminant Analysis (LDA). OneExpand
  • 7
  • 1
Face recognition using a fuzzy-Gaussian neural network
We present a face recognition approach using a new version of Chen and Teng's (1998) fuzzy neural network, which we have modified from an identifier into a neurofuzzy classifier called fuzzy-GaussianExpand
  • 14
  • 1
A nonlinear neuro-fuzzy model for prediction of daily exchange rates
We further present a nonlinear neuro-fuzzy approach to financial engineering. We successfully apply the Fuzzy-Gaussian Neural Network (FGNN) to the prediction or the daily exchange rate (USExpand
  • 10
  • 1
A Neural Segmentation of Multispectral Satellite Images
A neural model for segmentation of multispectral satellite images is presented, implying the following processing stages: (a) feature extraction using the 2-dimensional discrete cosine transform (2-dExpand
  • 7
  • 1
Concurrent neural classifiers for pattern recognition in multispectral satellite imagery
We investigate multispectral satellite image classification using the neural model previously proposed by the first author called Concurrent Self-Organizing Maps (CSOM), representing aExpand
  • 4
  • 1