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Visual approach to support analysis of optimum-path forest classifier
(2019-10-01)
Optimum-path forest (OPF) is a graph based classifier in which the training process computes optimum-path trees rooted by prototype instances. Thus, one or more optimum-path trees represent each class and the testing process ...
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 ...
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 kernel-based optimum-path forest classifier
(2018-01-01)
The modeling of real-world problems as graphs along with the problem of non-linear distributions comes up with the idea of applying kernel functions in feature spaces. Roughly speaking, the idea is to seek for well-behaved ...
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 ...
Static Video Summarization through Optimum-Path Forest Clustering
(Springer, 2014-01-01)
This paper introduces the Optimum-Path Forest (OPF) classifier for static video summarization, being its results comparable to the ones obtained by some state-of-the-art video summarization techniques. The experimental ...
Static video summarization through Optimum-Path Forest clustering
(2014-01-01)
This paper introduces the Optimum-Path Forest (OPF) classifier for static video summarization, being its results comparable to the ones obtained by some state-of-the-art video summarization techniques. The experimental ...
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 ...