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On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification
(Springer, 2014-01-01)
Contextual classification considers the information about a sample's neighborhood to improve standard pixel-based classification approaches. In this work, we evaluated four different Markovian models for Optimum-Path Forest ...
Training Optimum-Path Forest on Graphics Processing Units
(Ieee, 2014-01-01)
In this paper, we presented a Graphics Processing Unit (GPU)-based training algorithm for Optimum-Path Forest (OPF) classifier. The proposed approach employs the idea of a vector-matrix multiplication to speed up both ...
Fast Optimum-Path Forest Classification on Graphics Processors
(Ieee, 2014-01-01)
Some pattern recognition techniques may present a high computational cost for learning samples' behaviour. The Optimum-Path Forest (OPF) classifier has been recently developed in order to overcome such drawbacks. Although ...
Pattern Analysis in Drilling Reports using Optimum-Path Forest
(2018-10-10)
Well drilling monitoring is an essential task to prevent faults, save resources, and take care of environmental and eco-planning businesses. During drilling, it is required that staff fill out a log to keep track of the ...
Improving the Accuracy of the Optimum-Path Forest Supervised Classifier for Large Datasets
(Springer, 2010-01-01)
In this work, a new approach for supervised pattern recognition is presented which improves the learning algorithm of the Optimum-Path Forest classifier (OPF), centered on detection and elimination of outliers in the ...
Pattern Analysis in Drilling Reports using Optimum-Path Forest
(Ieee, 2018-01-01)
Well drilling monitoring is an essential task to prevent faults, save resources, and take care of environmental and eco-planning businesses. During drilling, it is required that staff fill out a log to keep track of the ...
Land-cover classification through sequential learning-based optimum-path forest
(2015-11-10)
Sequential learning-based pattern classification aims at providing more accurate labeled maps by adding an extra step of classification using an augmented feature vector. In this paper, we evaluated the robustness of ...
Training optimum-path forest on graphics processing units
(2014-01-01)
In this paper, we presented a Graphics Processing Unit (GPU)-based training algorithm for Optimum-Path Forest (OPF) classifier. The proposed approach employs the idea of a vector-matrix multiplication to speed up both ...
Fast optimum-path forest classification on graphics processors
(2014-01-01)
Some pattern recognition techniques may present a high computational cost for learning samples' behaviour. The Optimum-Path Forest (OPF) classifier has been recently developed in order to overcome such drawbacks. Although ...
A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest
(2016-07-29)
Contextual image classification aims at considering the information about nearby samples in the learning process in order to provide more accurate results. In this paper, we propose a locally-adaptive Optimum-Path Forest ...