Description: 《多传感器数据融合手册》
《Handbook of Multisensor Data Fusion》
作者: David L. Hall
定价: USD 199.95
出版社: CRC
出版年: 2001-06-20
简介 · · · · · ·
Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, robotics, medical diagnostics, and \"smart\" buildings. It draws on techniques from wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is an up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the field lead readers from a basic introduction and survey of data fusion technology to advanced mathematics and theory and to some very practical advice for systems implementers. -"multi-sensor data fusion manuals," "Handbook of Multisensor Da ta Fusion "Author : David L. Hall Price : USD 199.95 Press : CRC publication : 2001-06-20 Introduction Multisensor data fusio n is an emerging technology with important appl ications in both the military and civilian sect ors, such as target recognition, robotics, medical diagnostics. and "smart" buildings. It draws on techniques f rom wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is a n up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the f ield lead readers from a basic introduction and survey of data fusion technology to advanced ma thematics and theory and to some ve Platform: |
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Author:river_side |
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Description: 《多传感器数据融合手册》
《Handbook of Multisensor Data Fusion》
作者: David L. Hall
定价: USD 199.95
出版社: CRC
出版年: 2001-06-20
简介 · · · · · ·
Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, robotics, medical diagnostics, and "smart" buildings. It draws on techniques from wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is an up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the field lead readers from a basic introduction and survey of data fusion technology to advanced mathematics and theory and to some very practical advice for systems implementers. -"multi-sensor data fusion manuals," "Handbook of Multisensor Da ta Fusion "Author : David L. Hall Price : USD 199.95 Press : CRC publication : 2001-06-20 Introduction Multisensor data fusio n is an emerging technology with important appl ications in both the military and civilian sect ors, such as target recognition, robotics, medical diagnostics. and "smart" buildings. It draws on techniques f rom wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is a n up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the f ield lead readers from a basic introduction and survey of data fusion technology to advanced ma thematics and theory and to some ve Platform: |
Size: 7569408 |
Author:river_side |
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Description: ISODATA算法是一种基于统计模式识别的非监督学习动态聚类算法，有较强的实用性。介绍了ISODATA算法原理和实现步骤，结合具体算例进行了聚类分析，得到了理想的分类结果，并分析了参数的选取将对分类结果产生的影响。
-ISODATA algorithm is a statistical pattern recognition based on non-supervised learning dynamic clustering algorithm has good practicability. Introduction of the ISODATA algorithm and the realization of these steps, combined with specific examples of cluster analysis, to be an ideal classification results and an analysis of the selected parameters will be the impact of classification results. Platform: |
Size: 102400 |
Author: |
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Description: Many problems in statistical pattern recognition begin with the preprocessing of multidimensional signals, such as images of faces or spectrograms of speech.
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Size: 566272 |
Author:memcpy |
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Description: 模式识别领域的经典书籍，日本人写的，里面基础知识介绍的很详细-The field of pattern recognition classic books, written in Japanese, which introduced the basic knowledge in great detail Platform: |
Size: 6510592 |
Author:刘端 |
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Description: In this tutorial we present a brief introduction to SVM, and we discuss about SVM published papers, workshop materials & material collected books and material available online on the World Wide Web. In the beginning we try to define SVM and try to talk as why SVM, with a brief overview of statistical learning theory. The mathematical formulation of SVM is presented, and theory for the implementation of SVM is briefly discussed. Finally some conclusions on SVM and application areas are included. Support Vector Machines (SVMs) are competing with Neural Networks as tools for solving pattern recognition problems. This tutorial assumes you are familiar with concepts of Linear Algebra, real analysis and also understand the working of neural networks and have some background in AI.-In this tutorial we present a brief introduction to SVM, and we discuss about SVM published papers, workshop materials & material collected books and material available online on the World Wide Web. In the beginning we try to define SVM and try to talk as why SVM, with a brief overview of statistical learning theory. The mathematical formulation of SVM is presented, and theory for the implementation of SVM is briefly discussed. Finally some conclusions on SVM and application areas are included. Support Vector Machines (SVMs) are competing with Neural Networks as tools for solving pattern recognition problems. This tutorial assumes you are familiar with concepts of Linear Algebra, real analysis and also understand the working of neural networks and have some background in AI. Platform: |
Size: 689152 |
Author:Faiza |
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Search - Introduction to Statistical Pattern Recognition