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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 ...
Characterization of texture in image of skin lesions by support vector machine
(2012-11-19)
Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify ...
Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations
(2012-12-01)
The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as ...
Three-phase tri-state integrated boost inverter with special space vector and dq0 control
(2012-10-05)
This paper presents a three-phase integrated inverter suitable for stand-alone and grid-connected applications. Furthermore, the utilization of the special features of the tri-state coupled with the new space vector ...
Numerical Character Recognition Via Matching Between Coded Patterns And Feature Vectors
(IEEE, Piscataway, NJ, United States, 1996)
KS-SIFT: a keyframe extraction method based on local features
(Institute of Electrical and Electronics Engineers - IEEETaichung, 2014-12)
In this work we propose a new keyframe extraction method based on SIFT local features. We extracted feature vectors from a carefully selected group of frames from a vídeo shot, analyzing those vectors to eliminate near ...
A snoring classifier based on heart rate variability analysis
(2011-12-01)
The effect of snoring on the cardiovascular system is not well-known. In this study we analyzed the Heart Rate Variability (HRV) differences between light and heavy snorers. The experiments are done on the full-whole-night ...
Evaluating a convolutional neural network for feature extraction and tree species classification using uav-hyperspectral images
(2020-08-03)
The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced feature extraction and classification methods. ...
Tri-state Space Vector Modulation for Three-phase integrated inverters
(2011-12-28)
The aim of this work is to present a modified Space Vector Modulation (SVM) suitable for Tri-state Three-phase inverters. A standard SVM algorithm and the Tri-state PWM (Pulse Width Modulation) are presented and their ...
Effective speaker retrieval and recognition through vector quantization and unsupervised distance learning
(2016-06-06)
The huge amount of multimedia content accumulated daily has demanded the development of effective retrieval approaches. In this context, speaker recognition methods capable of automatically identifying a person through ...