One Class Classifiers
Mostrando 1-8 de 8 artigos, teses e dissertações.
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1. Algoritmo de aprendizado supervisionado - baseado em máquinas de vetores de suporte - uma contribuição para o reconhecimento de dados desbalanceados / Supervised learning Algorithm - Based on Support Vector Machines - A Contribution to the Recognition of Unbalanced Data
The machine learning in datasets that have unbalanced classes, has received considerable attention in the scientific community, because the traditional classification algorithms dont provide a satisfactory performance. This low performance can be explained by the fact that the traditional techniques of machine learning consider that each class present in the
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/09/2011
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2. Detecção de falhas em circuitos eletrônicos lineares baseados em classificadores de classe única. / Fault detection in electronics linear circuits based in one class classifiers.
This work deals with the application of one class classifiers in fault detection. The faults to be detected are related parametric faults. The transfer function of each circuit was generated and the outputs signals with the components in and out of tolerance were analyzed. Pattern recognition and one class classifications tools are employed to perform the an
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 05/08/2011
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3. Classifiers and machine learning techniques for image processing and computer vision / Classificadores e aprendizado em processamento de imagens e visão computacional
In this work, we propose the use of classifiers and machine learning techniques to extract useful information from data sets (e.g., images) to solve important problems in Image Processing and Computer Vision. We are particularly interested in: two and multi-class image categorization, hidden messages detection, discrimination among natural and forged images,
Publicado em: 2009
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4. A novel approach based on multiple criteria decision aiding methods to cope with classification problems / A Novel Approach Based on Multiple Criteria Decision Aiding Methods to Cope with Classification Problems
This work presents a novel decision making approach developed upon two Multicriteria Decision Aiding (MCDA) classification methods. The classification methods are centered on the concept of prototypes, that are alternatives that serve as class representatives related to a given problem, and have their performance index very dependent upon the choice of value
Publicado em: 2009
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5. Análise de estruturas de rede neocognitron para aplicação no reconhecimento facial
The present work consists in the use of the combination of neocognitron networks for the face recognition tasks integrating a system of face recognition, categorized as holistic method, by the fact of to approach all the face in the extration of the characteristics of the input image. The use of the face as biometric attribute in the recognition of individuo
Publicado em: 2008
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6. Construção de evidências para classificação automática de textos
Since the popularization of digital documents, automatic text classification is considered an important research topic. Despite the research efforts, there is still a demand for improving the performance of classifiers. Most of the research in automatic text classification focus on the algorithmic side, but there are few efforts focused on enhancing the data
Publicado em: 2008
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7. Caracterização do teor de nitrogênio foliar e produtividade do feijoeiro com técnicas de visão artificial / Characterization of leaf nitrogen content of bean plants with techniques of machine vision
Beans are one of the basic human nutrition components in Brazil and an important source of protein. Brazil is the major world producer and consumer, but has an average yield less than that of the USA and China. In the last years, the necessity to efficiently increase crop productivity and keep concerning with environmental issues has increased the producer i
Publicado em: 2008
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8. Reconhecimento de caracteres manuscritos baseado em regiões perceptivas
This work investigates the perceptual zoning mechanism for handwritten character recognition. It is proposed a non-symmetrical zoning mechanism as the baseline on the analysis of the confusion matrix for each individual classifier (Class-Modular). Zoning is a method for local information analysis on partitions of a given pattern. The feature extraction is ba
Publicado em: 2005