Classifier Combination
Mostrando 1-12 de 18 artigos, teses e dissertações.
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1. An Efficient Human Identification through MultiModal Biometric System
ABSTRACT Human identification is essential for proper functioning of society. Human identification through multimodal biometrics is becoming an emerging trend, and one of the reasons is to improve recognition accuracy. Unimodal biometric systems are affected by various problemssuch as noisy sensor data,non-universality, lack of individuality, lack of invaria
Braz. arch. biol. technol.. Publicado em: 23/01/2017
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2. Algoritmos Evolutivos aplicados ao Classificador baseado em Segmentos de Reta / Evolutive Algorithms applied to the Straight Line Segment Classifier
During the past years, the use of machine learning techniques have become into one of the most frequently performed tasks, due to the large amount of pattern recognition applications such as: voice recognition, text classification, face recognition, medical image diagnosis, among others. Thus, a great number of techniques dealing with this kind of problem ha
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 03/07/2012
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3. 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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4. Uma metodologia para caracterização do tráfego de redes de computadores: uma aplicação em detecção de anomalias / Methodology for traffic characterization of computer networks: an application in anomaly detection
The methods of intrusion detection based on anomalies model the default behavior of network traffic and identify anomalies as deviations from the behavior model mapped. The modeling of traffic behavior requires the analysis of large datasets to extract knowledge about the particularities of each network environment, considering the services provided, number
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/02/2011
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5. Aplicação de modelos de Markov ocultos na obtenção de taxas de mortalidade das larvas do mosquito da Dengue
In order to prevent the proliferation of Dengue transmitter - scientifically named as Aedes ae- gypti - and therefore decrease human contamination by such insect, many larvaecides have been developed recently. Researchers from Dom Bosco Catholic University evaluate the efectiveness of vegetal-derived substances capable to combat such animal larvae. Death rat
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/02/2010
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6. A FRAMEWORK FOR THE CONSTRUCTION OF MEDIATORS OFFERING DEDUPLICATION / UM FRAMEWORK PARA A CONSTRUÇÃO DE MEDIADORES OFERECENDO ELIMINAÇÃO DE DUPLICATAS
As Web applications that obtain data from different sources (Mashups) grow in importance, timely solutions to the duplicate detection problem become central. Most existing techniques, however, are based on machine learning algorithms, that heavily rely on the use of relevant, manually labeled, training datasets. Such solutions are not adequate when talking a
Publicado em: 2010
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7. Análise dos dados ALOS/PALSAR (modo de imageamento FBD) para identificação dos tipos de cobertura da terra na região norte do estado do Mato Grosso / Analysis of ALOS/PALSAR data (FDB mode) to identification land cover types in north region of Mato Grosso State
The Amazon forest is the largest rainforest of the planet and concentrates great biodiversity and natural resources. The continuous human impacts are occurring due to the occupation and exploitation of the region, then becoming essential to understand and to monitor the land cover changes. The intense cloud coverage in this region makes the use of optical im
Publicado em: 2009
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8. Combinação de múltiplos classificadores para reconhecimento de face humana
Lately, the human face object has been exploited by the advent of systems involving biometrics, especially for applications in security. One of the most challenging applications is the problem of human face recognition, which consists of determining the correspondence between an input face and an individual from a database of known persons. The process of fa
Publicado em: 2009
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9. Avaliação da rugosidade superficial do solo utilizando técnicas de sensoriamento remoto e análise de imagens / Evaluation of soil surface roughness using remote sensing techniques and analysis of image
To study the top-soil rugosity using the remote sense techniques, we used one area of 1.200 m, divided on three blocks with five treatments each one, where the dimensions of the parcels were from 20 m of length by 3 m of wideness and 1 m between each parcel, and each block had an area of 20 x 18 m. In every block it was made an assortment of the localization
Publicado em: 2009
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10. Dilema da diversidade-acurácia: um estudo empírico no contexto de multiclassificadores
Multi-classifier systems, also known as ensembles, have been widely used to solve several problems, because they, often, present better performance than the individual classifiers that form these systems. But, in order to do so, its necessary that the base classifiers to be as accurate as diverse among themselves this is also known as diversity/accuracy dile
Publicado em: 2008
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11. Uma Análise Comparativa entre Sistemas de Combinação de Classificadores com Distribuição Vertical dos Dados
Em sistemas que combinam as saídas de classificadores de padrões, sistemas de combinação, como comitês e sistemas multiagentes para classificação, um dos principais problemas é que os componentes do sistema (classificadores ou agentes) devem ser diversos entre si. Em outras palavras, não existe ganho de desempenho em sistemas formados por um conjunt
Publicado em: 2008
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12. Análise de conteúdo de vídeo por meio de aprendizado ativo
Advances in compression techniques, decreasing cost of storage, and high-speed transmission have facilitated the way videos are created, stored and distributed. As a consequence, videos are now being used in many applications areas. The increase in the amount of video data deployed and used in today s applications reveals not only the importance as multimedi
Publicado em: 2007