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Fast fault diagnosis in power transformers using optimum-path forest
(2012-10-01)
In this paper we propose a fast and an accurate method for fault diagnosis in power transformers by means of Optimum-Path Forest (OPF) classifier. Since we applied Dissolved Gas Analysis (DGA), the samples have been labeled ...
Automatic landslide recognition through Optimum-Path Forest
(2012-12-01)
In this paper we shed light over the problem of landslide automatic recognition using supervised classification, and we also introduced the OPF classifier in this context. We employed two images acquired from Geoeye-MS ...
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 ...
Optimizing optimum-path forest classification for huge datasets
(2010-11-18)
Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...
Precipitates segmentation from scanning electron microscope images through machine learning techniques
(2011-06-02)
The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable ...
Automatic segmentation of the secondary austenite-phase island precipitates in a superduplex stainless steel weld metal
(2012-02-13)
Duplex and superduplex stainless steels are class of materials of a high importance for engineering purposes, since they have good mechanical properties combination and also are very resistant to corrosion. It is known as ...
Fast robot voice interface through optimum-path forest
(2012-10-01)
Voice-based user interfaces have been actively pursued aiming to help individuals with motor impairments, providing natural interfaces to communicate with machines. In this work, we have introduced a recent machine learning ...
Fusion of fingerprint recognition methods for robust human identification
(2008-09-22)
Biometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. However considering the automatic fingerprint recognition a completely solved problem is a common ...
On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification
(Springer, 2016-01-01)
Tensor-based representations have been widely pursued in the last years due to the increasing number of high-dimensional datasets, which might be better described by the multilinear algebra. In this paper, we introduced a ...
Efficient sign language recognition system and dataset creation method based on deep learning and image processing
(2021-01-01)
New deep-learning architectures are created every year, achieving state-of-the-art results in image recognition and leading to the belief that, in a few years, complex tasks such as sign language translation will be ...