Add to ORKGThe paper suggests a statistical framework for the parameter esti-mation problem associated with unsupervised learning in a neural network, leading to an exploratory projection pursuit network that performs feature extraction, or dimensionality reduction.
Abstract — In this work, an attempt is made to extract minimum number of features to represent the p...
Object extraction algorithms with a Neural Network (NN) are described. The objective function to be ...
Upsupervised, data driven, automatic feature extraction from image data is an interesting and diffic...
A novel neural network based method for feature extraction is proposed. The method achieves dimensio...
Feature extraction is the heart of an object recognition system. In recognition problem, features ar...
A novel unsupervised neural network for dimensionality reduction which seeks directions emphasizing ...
. In this article, we review unsupervised neural network learning procedures which can be applied t...
In a classification problem, quite often the dimension of the measurement vector is large. Some of t...
Feature extraction is a procedure aimed at selecting and transforming a data set in order to increas...
The main idea of this paper is to compare feature selection methods for dimension reduction of the o...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
Algorithms for object extraction using a neural network are proposed. A single neuron (processor) is...
Artificial Neural Networks are models of interacting neurons that can be used as classifiers with la...
A novel method for feature extraction has been applied to a problem of three-dimensional object reco...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
Abstract — In this work, an attempt is made to extract minimum number of features to represent the p...
Object extraction algorithms with a Neural Network (NN) are described. The objective function to be ...
Upsupervised, data driven, automatic feature extraction from image data is an interesting and diffic...
A novel neural network based method for feature extraction is proposed. The method achieves dimensio...
Feature extraction is the heart of an object recognition system. In recognition problem, features ar...
A novel unsupervised neural network for dimensionality reduction which seeks directions emphasizing ...
. In this article, we review unsupervised neural network learning procedures which can be applied t...
In a classification problem, quite often the dimension of the measurement vector is large. Some of t...
Feature extraction is a procedure aimed at selecting and transforming a data set in order to increas...
The main idea of this paper is to compare feature selection methods for dimension reduction of the o...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
Algorithms for object extraction using a neural network are proposed. A single neuron (processor) is...
Artificial Neural Networks are models of interacting neurons that can be used as classifiers with la...
A novel method for feature extraction has been applied to a problem of three-dimensional object reco...
We propose an object recognition scheme based on a method for feature extraction from gray level ima...
Abstract — In this work, an attempt is made to extract minimum number of features to represent the p...
Object extraction algorithms with a Neural Network (NN) are described. The objective function to be ...
Upsupervised, data driven, automatic feature extraction from image data is an interesting and diffic...