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Static video summarization through Optimum-Path Forest clustering
(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 ...
On the influence of Markovian models for contextual-based Optimum-Path Forest classification
(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 ...
Soil erodibility assessment in a pasture and forest remnant using the inderbitzen device
(2013-05-28)
Brazil has the largest cattle herd in the world with approximately 200 million head. An important feature of the Brazilian cattle industry is that most of its herd is raised on pasture, which constitutes one of the most ...
Natural canopy gaps and ecological aspects of the regeneration process to develop a sustainable forest management in Nothofagus betuloides dominated forests in Chile
(2012)
It has been argued that most of the Chilean old-growth Nothofagus forests are naturally
uneven-aged. During recent decades a shelterwood system has been applied in these
forests, which has homogenized and simplified the ...
Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence
(Springer, 2013-01-01)
Several works have been conducted in order to improve classification problems. However, a considerable amount of them do not consider the contextual information in the learning process, which may help the classification ...
Optimizing contextual-based optimum-forest classification through swarm intelligence
(2013-01-01)
Several works have been conducted in order to improve classification problems. However, a considerable amount of them do not consider the contextual information in the learning process, which may help the classification ...
Improving image classification through descriptor combination
(2012-12-01)
The efficiency in image classification tasks can be improved using combined information provided by several sources, such as shape, color, and texture visual properties. Although many works proposed to combine different ...
Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning
(2018-11-26)
Appropriate metrics are paramount for machine learning and pattern recognition. In Content-based Image Retrieval-oriented applications, low-level features and pairwise-distance metrics are usually not capable of representing ...
Improving Optimum-Path Forest Classification Using Unsupervised Manifold Learning
(Ieee, 2018-01-01)
Appropriate metrics are paramount for machine learning and pattern recognition. In Content-based Image Retrieval-oriented applications, low-level features and pairwise-distance metrics are usually not capable of representing ...
On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering
(Ieee Computer Soc, 2014-01-01)
In this paper, we show how to improve the Radial Basis Function Neural Networks effectiveness by using the Optimum-Path Forest clustering algorithm, since it computes the number of clusters on-the-fly, which can be very ...