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Statistical Data Fusion

details are not trivial. The authors did an excellent job in making a concise introduction of the statistical techniques in data fusion. The book;

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Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;

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Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;

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Statistical Learning and Data Sciences

This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015;

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Data Fusion Mathematics

. Focuses on Mathematical Tools That Use Data Fusion This text explores the use of statistical/probabilistic signal/image processing, filtering;

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Data Fusion Mathematics

. Focuses on Mathematical Tools That Use Data Fusion This text explores the use of statistical/probabilistic signal/image processing, filtering;

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Multisensor Data Fusion

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice;

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Multisensor Data Fusion

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice;

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Analysis of Integrated Data

of entity ambiguity: statistical analysis of linked datasets that may contain linkage errors; datasets created by a data fusion process, where joint;

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Analysis of Integrated Data

of entity ambiguity: statistical analysis of linked datasets that may contain linkage errors; datasets created by a data fusion process, where joint;

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Data Fusion: Concepts and Ideas

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised;

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Multi-Sensor Image Fusion and Its Applications

Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as;

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NDT Data Fusion

Data fusion is a rapidly developing technology which involves the combination of information supplied by several NDT (Non-Destructive;

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Statistical Properties of Statistical Matching

Statistical matching, or data fusion, merges microdata from sample surveys. The goal is to create a synthetic file with a merged set;

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Distributed Data Fusion for Network-Centric Operations

buildings and defense. Drawing on the work of leading experts around the world, Distributed Data Fusion for Network-Centric Operations examines the;

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Principal Component Analysis Handbook

This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical;

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Mathematical Techniques in Multi-sensor Data Fusion

This invaluable reference offers the most comprehensive introduction available to the concepts of multisensor data fusion. It introduces;

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Fusion of Security System Data to Improve Airport Security

the NRC for a study of emerging screening technologies. This book - the fourth of four - focuses on data fusion as a means to significantly;

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Multisensor Fusion Estimation Theory and Application

This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four;

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Multi-Sensor Data Fusion With MATLAB

Using MATLAB (R) examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion;

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Opinion Mining and Lexical Affect Sensing

approach that combines the statistical approach and the semantic approach. Furthermore, this thesis explores affect sensing using multimodal fusion;

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Handbook of Multisensor Data Fusion

, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts;

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Data Fusion Methodology and Applications

Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts;

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Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System

robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.;

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Multirate Statistical Signal Processing

Multirate Statistical Signal Processing introduces a statistical theory for extracting information from related signals with different;

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The Science of the Cold Fusion Phenomenon

Broken up in to three sections, this book gives a unified explanation of all the significant data on the Cold Fusion Phenomena to date. It;

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Data Fusion for WSN Using Probabilistic Method and Particle Filter

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