Now showing items 1-10 of 73
Classification of handwriting patterns in patients with Parkinson´s disease, using a biometric sensor
(Global Advanced Research Journal of Medicine and Medical Sciences, 2014) [Artigo]
Parkinson disease (PD) is characterized by typical movement disorders, important for clinical diagnosis and management. Objective assessment may be possible by mathematic classification of characteristics extracted by a ...
Participação do nepp/prograd no processo de articulação dos cursos de graduação da Unesp
(Congresso Estadual Paulista sobre Formação de Educadores, 2011) [Trabalho apresentado em evento]
A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks
(Information Sciences, 2015-02-10) [Artigo]
We propose a nature-inspired approach to estimate the probability density function (pdf) used for data clustering based on the optimum-path forest algorithm (OPFC). OPFC interprets a dataset as a graph, whose nodes are the ...
On the optical flow model selection through metaheuristics
(Eurasip Journal On Image And Video Processing, 2015-05-09) [Artigo]
Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of parameters. ...
Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques
(Journal of Computational Science, 2015) [Artigo]
Discriminative learning of Restricted Boltzmann Machines has been recently introduced as an alternative to provide a self-contained approach for both unsupervised feature learning and classification purposes. However, one ...
Prognostic significance of beta-2 adrenergic receptor in oral squamous cell carcinoma
(Cancer Biomarkers, 2011-01-01) [Artigo]
The aim of this study was to evaluate the expression of beta 2-adrenergic receptor (beta 2-AR) in oral squamous cell carcinoma (OSCC) and to investigate the correlations between expression level and clinical characteristics, ...
Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest
(Ieee Transactions On Geoscience And Remote Sensing, 2014-10-01) [Artigo]
Land cover classification has been paramount in the last years. Since the amount of information acquired by satellite on-board imaging systems has increased, there is a need for automatic tools that can tackle such problem. ...
Swarm-based descriptor combination and its application for image classification
(ELCVIA. Electronic letters on computer vision and image analysis, 2014) [Artigo]
In this paper, we deal with the descriptor combination problem in image classification tasks. This problem refers to the definition of an appropriate combination of image content descriptors that characterize different ...
IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
(Computer Vision and Image Understanding, 2012-02-01) [Artigo]
We introduce IFTrace, a method for video segmentation of deformable objects. The algorithm makes minimal assumptions about the nature of the tracked object: basically, that it consists of a few connected regions, and has ...
HOW FAR do WE GET USING MACHINE LEARNING BLACK-BOXES?
(International Journal of Pattern Recognition and Artificial Intelligence, 2012-03-01) [Artigo]
With several good research groups actively working in machine learning (ML) approaches, we have now the concept of self-containing machine learning solutions that oftentimes work out-of-the-box leading to the concept of ...