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Now showing items 1-10 of 44
New trends in musical genre classification using optimum-path forest
(Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011, 2011-12-01) [Trabalho apresentado em evento]
Musical genre classification has been paramount in the last years, mainly in large multimedia datasets, in which new songs and genres can be added at every moment by anyone. In this context, we have seen the growing of ...
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, ...
BCS: A Binary Cuckoo Search algorithm for feature selection
(Proceedings - IEEE International Symposium on Circuits and Systems, 2013-09-09) [Trabalho apresentado em evento]
Feature selection has been actively pursued in the last years, since to find the most discriminative set of features can enhance the recognition rates and also to make feature extraction faster. In this paper, the propose ...
A hybrid image restoration algorithm based on Projections onto Convex Sets and Harmony Search
(Proceedings - IEEE International Symposium on Circuits and Systems, 2013-09-09) [Trabalho apresentado em evento]
Image restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search ...
Optimum-Path Forest Applied for Breast Masses Classification
(2014 Ieee 27th International Symposium On Computer-based Medical Systems (cbms), 2014-01-01) [Trabalho apresentado em evento]
In Computer-Aided Diagnosis-based schemes in mammography analysis each module is interconnected, which directly affects the system operation as a whole. The identification of mammograms with and without masses is highly ...
Static Video Summarization through Optimum-Path Forest Clustering
(Progress In Pattern Recognition Image Analysis, Computer Vision, And Applications, Ciarp 2014, 2014-01-01) [Trabalho apresentado em evento]
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 ...
Speeding up optimum-path forest training by path-cost propagation
(Proceedings - International Conference on Pattern Recognition, 2012-12-01) [Trabalho apresentado em evento]
In this paper we present an optimization of the Optimum-Path Forest classifier training procedure, which is based on a theoretical relationship between minimum spanning forest and optimum-path forest for a specific path-cost ...
Precipitates segmentation from scanning electron microscope images through machine learning techniques
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011-06-02) [Trabalho apresentado em evento]
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 ...
Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011-09-26) [Trabalho apresentado em evento]
The Optimum-Path Forest (OPF) classifier is a recent and promising method for pattern recognition, with a fast training algorithm and good accuracy results. Therefore, the investigation of a combining method for this kind ...
A graph-based framework for thermal faceprint characterization
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011-09-26) [Trabalho apresentado em evento]
Thermal faceprint has been paramount in the last years. Since we can handle with face recognition using images acquired in the infrared spectrum, an unique individual's signature can be obtained through the blood vessels ...