Now showing items 1-6 of 6
Optimizing optimum-path forest classification for huge datasets
(Proceedings - International Conference on Pattern Recognition, 2010-11-18) [Trabalho apresentado em evento]
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, ...
Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010-05-21) [Trabalho apresentado em evento]
In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support ...
Improving the accuracy of the optimum-path forest supervised classifier for large datasets
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010-12-15) [Trabalho apresentado em evento]
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 ...
Parkinson's disease identification through Optimum-Path Forest
(2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, 2010-12-01) [Trabalho apresentado em evento]
Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by ...
An intelligent system to detect drilling problems through drilled cuttings return analysis
(SPE/IADC Drilling Conference, Proceedings, 2010-07-07) [Trabalho apresentado em evento]
Cuttings return analysis is an important tool to detect and prevent problems during the petroleum well drilling process. Several measurements and tools have been developed for drilling problems detection, including mud ...
Robust and fast vowel recognition using optimum-path forest
(ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2010-11-08) [Trabalho apresentado em evento]
The applications of Automatic Vowel Recognition (AVR), which is a sub-part of fundamental importance in most of the speech processing systems, vary from automatic interpretation of spoken language to biometrics. State-of-the-art ...