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Nature-inspired optimum-path forest
(2021-01-01)
The Optimum-Path Forest (OPF) is a graph-based classifier that models pattern recognition problems as a graph partitioning task. The OPF learning process is performed in a competitive fashion where a few key samples (i.e., ...
A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest
(Institute of Electrical and Electronics Engineers (IEEE), 2011-02-01)
Nowadays, fraud detection is important to avoid nontechnical energy losses. Various electric companies around the world have been faced with such losses, mainly from industrial and commercial consumers. This problem has ...
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest
(2013-10-10)
Besides optimizing classifier predictive performance and addressing the curse of the dimensionality problem, feature selection techniques support a classification model as simple as possible. In this paper, we present a ...
Hierarchical learning using deep optimum-path forest
(2020-08-01)
Bag-of-Visual Words (BoVW) and deep learning techniques have been widely used in several domains, which include computer-assisted medical diagnoses. In this work, we are interested in developing tools for the automatic ...
Optimum-Path Forest based on k-connectivity: Theory and applications
(Elsevier B.V., 2017-02-01)
Graph-based pattern recognition techniques have been in the spotlight for many years, since there is a constant need for faster and more effective approaches. Among them, the Optimum-Path Forest (OPF) framework has gained ...
Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification
(Ieee-inst Electrical Electronics Engineers Inc, 2016-05-01)
Contextual-based learning aims at considering neighboring pixels to improve pixelwise-oriented classification techniques. In this letter, we presented a metaheuristic framework for the optimization of nondiscrete Markovian ...
OPFython: A Python implementation for Optimum-Path Forest[Formula presented]
(2021-08-01)
OPFython is an open-sourced Python package that implements Optimum-Path Forest algorithms using object-oriented programming and a straightforward structure. It provides an alternative implementation to the standard LibOPF ...
Optimum-path forest stacking-based ensemble for intrusion detection
(Springer, 2021-05-12)
Machine learning techniques have been extensively researched in the last years, mainly due to their effectiveness when dealing with recognition or classification applications. Typically, one can comprehend using a Machine ...
A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier
(Elsevier B.V., 2014-04-15)
In general, pattern recognition techniques require a high computational burden for learning the discriminating functions that are responsible to separate samples from distinct classes. As such, there are several studies ...
Fast petroleum well drilling monitoring through optimum-path forest
(2010-12-01)
Automatic inspection of petroleum well drilling has became paramount in the last years, mainly because of the crucial importance of saving time and operations during the drilling process in order to avoid some problems, ...