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Speeding up optimum-path forest training by path-cost propagation
(2012-12-01)
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 ...
Automatic visual dictionary generation through optimum-path forest clusteringautomatic visual dictionary generation through optimum-path forest clustering
(Ieee, 2012-01-01)
Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points ...
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 ...
Unsupervised Dialogue Act Classification with Optimum-Path Forest
(2019-01-15)
Dialogue Act classification is a relevant problem for the Natural Language Processing field either as a standalone task or when used as input for downstream applications. Despite its importance, most of the existing ...
On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification
(Springer, 2014-01-01)
Contextual classification considers the information about a sample's neighborhood to improve standard pixel-based classification approaches. In this work, we evaluated four different Markovian models for Optimum-Path Forest ...
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 ...
Pattern Analysis in Drilling Reports using Optimum-Path Forest
(2018-10-10)
Well drilling monitoring is an essential task to prevent faults, save resources, and take care of environmental and eco-planning businesses. During drilling, it is required that staff fill out a log to keep track of the ...
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 ...
Pattern Analysis in Drilling Reports using Optimum-Path Forest
(Ieee, 2018-01-01)
Well drilling monitoring is an essential task to prevent faults, save resources, and take care of environmental and eco-planning businesses. During drilling, it is required that staff fill out a log to keep track of the ...