Classifier Fusion
Mostrando 1-4 de 4 artigos, teses e dissertações.
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1. Reconhecimento de PadrÃes AtravÃs de AnÃlises EstatÃsticas e Fractais Aplicadas a Dados de Ensaios NÃo-Destrutivos / Pattern Recognition by Statistical Fluctuation and Fractal Analyses Applied to Nondestructive Testing Data
In this work a procedure is studied for pattern classification related to different types of data, namely: (1) signals obtained from ultrasonic testing ( pulse-echo technique) and magnetic signals obtained from BarkhÃusen noise in samples of ferritic-pearlitic carbon steel tubes which, due to temperature effects, have shown microstructural changes as conseq
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/12/2011
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2. Explorando informações texturais das visões crânio-caudal e médio-lateral oblíqua para extração e classificação Fuzzy de imagens mamográficas / Explorando informações texturais das visões crânio-caudal e médio-lateral oblíqua para extração e classificação Fuzzy de imagens mamográficas
The computerized system to support detection and diagnosis (Computer Aided Detection or Diagnosis - CAD) is a tool for medical help that has been used to identify and diagnose abnormalities in breast tissue. Although CAD systems have provided a large number of research and increased sensitivity, the majority analyzes the MLO and CC views independently. Exper
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/11/2010
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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. 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