Posts Tagged ‘Classifier’:

Research on Internet Topic Detection and Tracking Based on Blog

ABSTRACT:With the fast development and popularization of information technology, there is huge amount of Internet information every day. How to detect the topics among this huge amount information precisely and quickly, and how to track the topics that detected is one of the focuses of research.This paper starts with translating text information into the vector

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The Design and Implementation of Face Detection Algorithm Based on FPGA Chip

With the unremitting research of face detection technology in recent years, face detection technology has been greatly developed, and it gradually becomes an independent research project. People are often the most suitable objects which should be monitored in most video surveillance systems, and people’s face owns the most important features to be identified for a

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Implementations of Face Recognition System Based on ADSP-BF561

In the 21st century, face recognition technology has been widely developed for the advantages of quick and convenient. Face recognition involves a number of important technical disciplines. As an important research subject, face recognition has extremely important theoretical value and practical value. This thesis studies the basic technology of face recognition to realize a real-time

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SVM-Based Uyghur Print Recognition Classifier Design

With the development of electronic information technology, there is an increasing need of computer applications at work and life for Xinjiang people of all ethnic groups. Many traditional literature and print of ethnic minorities, such as paper documents in news agencies, libraries, ancient literature publishing house, archives and a number of specialized units, is in

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Research on a Method of Focused Crawler Based on Page Partition

With the increasing of information on internet, the results of general search engine can’t meet the needs of the users, especially those with different area or different background who want to search information in specialized fields. Then vertical search engines which are much more professional and personalized emerge as the times require.A key part of

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The Research for Multiple Classifier Dynamic Ensemble and the Application

A good machine learning system must have a strong generalization. That’s, the model built according to the available data can handle the new data very well. In order to achieve good generalization ability and robustness, multiple classifiers ensemble methods integrate individual many devices (base classifiers) with certain rules, which makes full use of complementarity among

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The Research and Implementation on Algorithms for Image and Video Colorization

With the development of computer technology, the applications of images and videos are becoming more widely. But many technological images, such as satellite images, medical images and some relics of ancient buildings images are still presented in the form of grayscale images. However, the human eye has a poor ability to distinguish grayscale, while it

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The Research and Implementation on Algorithms for Image and Video Colorization

With the development of computer technology, the applications of images and videos are becoming more widely. But many technological images, such as satellite images, medical images and some relics of ancient buildings images are still presented in the form of grayscale images. However, the human eye has a poor ability to distinguish grayscale, while it

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Extracting Transporter Substrate Information from Semi-structure Text

With fast growing available biological molecular data, many tools of automatic extracting biological information from many specialized databases get deeply developing. In this paper, we show how to construct a pipeline as a tool (TTSI) to extract new transporter substrate interactions (TSI) for transporter substrate database (TSdb) from UniProt.We describe a maximum-entropy classifier that is

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Classiifcation of Masses in Mammography Based on Multi-Classifier Fusion with an Improved Multi-Agent Algorithm

Breast cancer is one of the most common malignant cancers among the women and has aserious negative effect on physical and mental health. In the methods for early diagnosing breastcancer, mammography is considered as a good way for the early detection of breast cancer.However, the ability of human eyes in reading mammography is limited, computer

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