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Infrared face recogniton by optimum-path forest
(2009-12-01)
This paper presents a novel, fast and accurate appearance-based method for infrared face recognition. By introducing the Optimum-Path Forest classifier, our objective is to get good recognition rates and effectively reduce ...
Infrared face recogniton by optimum-path forest
(2009-12-01)
This paper presents a novel, fast and accurate appearance-based method for infrared face recognition. By introducing the Optimum-Path Forest classifier, our objective is to get good recognition rates and effectively reduce ...
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
Pattern Recognition for Micro Workpieces Manufacturing
(Revista Computación y Sistemas; Vol. 13 No.1, 2009-08-15)
Abstract. Two neural classifiers were developed for image recognition: PCNC (Permutation Coding Neural Classifier) and LIRA (Limited Receptive Area) neural classifiers. These neural classifiers are multipurpose neural ...
Compressing arrays of classifiers using Volterra-Neural Network: application to face recognition
(Springer, 2013-07)
Model compression is required when large models are used, for example, for a classification task, but there are transmission, space, time or computing constraints that have to be fulfilled. Multilayer Perceptron (MLP) ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...