Buscar
Mostrando ítems 1-10 de 5026
A Markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach
(2011-11-28)
The research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed ...
A Markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach
(2011-11-28)
The research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed ...
Automatic segmentation and classification of human intestinal parasites from microscopy images
(2013-10-01)
Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that ...
Automatic segmentation and classification of human intestinal parasites from microscopy images
(2013-10-01)
Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that ...
Analyzing and classifying MRI images using robust mathematical modeling
Medical imaging is an exponentially growing field, which consists of a set of tools and techniques used to extract useful information from medical images. Magnetic Resonance Imaging (MRI) is one of the most popular techniques ...
Dynamic Selection of Classifiers with Application in Real Environments
(2013)
The main goal of this project is to propose, develop, and evaluate novel strategies for selecting
dynamically a subset of classifiers under the base of a deep study on the behavior of an oracle
for different real environments. ...
Learning to Classify Seismic Images with Deep Optimum-Path Forest
(Ieee, 2016-01-01)
Due to the lack of labeled information, clustering techniques have been paramount in the last years once more. In this paper, inspired by the deep learning phenomenon, we presented a multi-scale approach to obtain more ...
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 ...