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 of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery Includes comprehensible, theoretical chapters written for large and diverse audiences Provides a wealth of selected application to the topics included

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  • Author : Marina Cocchi
  • Publisher : Elsevier
  • Pages : 396 pages
  • ISBN : 0444639853
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Fusion Methodology and Applications

Data Fusion Methodology and Applications

Data Fusion Methodology and Applications
  • Author : Marina Cocchi
  • Publisher : Elsevier
  • Release : 11 May 2019
GET THIS BOOKData Fusion Methodology and Applications

Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges

Multiblock Data Fusion in Statistics and Machine Learning

Multiblock Data Fusion in Statistics and Machine Learning
  • Author : Age K. Smilde,Tormod Næs,Kristian Hovde Liland
  • Publisher : John Wiley & Sons
  • Release : 03 May 2022
GET THIS BOOKMultiblock Data Fusion in Statistics and Machine Learning

Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the

Comprehensive Chemometrics

Comprehensive Chemometrics
  • Author : Steven Brown,Roma Tauler,Beata Walczak
  • Publisher : Elsevier
  • Release : 26 May 2020
GET THIS BOOKComprehensive Chemometrics

Comprehensive Chemometrics, Second Edition features expanded and updated coverage, along with new content that covers advances in the field since the previous edition published in 2009. Subject of note include updates in the fields of multidimensional and megavariate data analysis, omics data analysis, big chemical and biochemical data analysis, data fusion and sparse methods. The book follows a similar structure to the previous edition, using the same section titles to frame articles. Many chapters from the previous edition are updated, but

Recent Advances in Intelligent Systems and Smart Applications

Recent Advances in Intelligent Systems and Smart Applications
  • Author : Mostafa Al-Emran,Khaled Shaalan,Aboul Ella Hassanien
  • Publisher : Springer Nature
  • Release : 26 June 2020
GET THIS BOOKRecent Advances in Intelligent Systems and Smart Applications

This book explores the latest research trends in intelligent systems and smart applications. It presents high-quality empirical and review studies focusing on various topics, including information systems and software engineering, knowledge management, technology in education, emerging technologies, and social networks. It provides insights into the theoretical and practical aspects of intelligent systems and smart applications.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
  • Author : Isabelle Bloch,Roberto M. Cesar, Jr.
  • Publisher : Springer
  • Release : 02 November 2010
GET THIS BOOKProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Pattern recognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machine learning, content-based image retrieval, and model- and knowledge-based - proaches, just to name a few. The Iberoamerican Congress on Pattern Recog- tion (CIARP) has become established as a high-quality conference, highlighting the recent evolution of the domain. These proceedings include all papers presented during the 15th edition of this conference, held in Sao Paulo, Brazil, in November 2010. As was the case

Maximum Entropy and Bayesian Methods

Maximum Entropy and Bayesian Methods
  • Author : C.R. Smith,G. Erickson,Paul O. Neudorfer
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKMaximum Entropy and Bayesian Methods

Bayesian probability theory and maximum entropy methods are at the core of a new view of scientific inference. These `new' ideas, along with the revolution in computational methods afforded by modern computers, allow astronomers, electrical engineers, image processors of any type, NMR chemists and physicists, and anyone at all who has to deal with incomplete and noisy data, to take advantage of methods that, in the past, have been applied only in some areas of theoretical physics. This volume records

Tensors for Data Processing

Tensors for Data Processing
  • Author : Yipeng Liu
  • Publisher : Academic Press
  • Release : 21 October 2021
GET THIS BOOKTensors for Data Processing

Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing and engineering applications, with an emphasis on techniques for data processing. This reference is ideal for students, researchers and industry developers who want to understand and use tensor-based data processing theories and methods. As a higher-order generalization of a matrix, tensor-based processing can avoid multi-linear data structure loss that occurs in classical matrix-based data

Hyperspectral Imaging

Hyperspectral Imaging
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 29 September 2019
GET THIS BOOKHyperspectral Imaging

Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral

Traffic Simulation and Data

Traffic Simulation and Data
  • Author : Winnie Daamen,Christine Buisson,Serge P. Hoogendoorn
  • Publisher : CRC Press
  • Release : 17 September 2014
GET THIS BOOKTraffic Simulation and Data

A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project-a European Cost Action project that incorpo

NDT Data Fusion

NDT Data Fusion
  • Author : Xavier Gros
  • Publisher : Elsevier
  • Release : 01 November 1996
GET THIS BOOKNDT Data Fusion

Data fusion is a rapidly developing technology which involves the combination of information supplied by several NDT (Non-Destructive Testing) sensors to provide a more complete and understandable picture of structural integrity. This text is the first to be devoted exclusively to the concept of multisensor integration and data fusion applied to NDT. The advantages of this methodology are widely acknowledged and the author presents an excellent introduction to data fusion processes. Problems are approached progressively through detailed case studies, offering

Remote Sensing Based Building Extraction

Remote Sensing Based Building Extraction
  • Author : Mohammad Awrangjeb,Xiangyun Hu,Bisheng Yang,Jiaojiao Tian
  • Publisher : MDPI
  • Release : 27 March 2020
GET THIS BOOKRemote Sensing Based Building Extraction

Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic building extraction and modeling is still largely impeded by scene complexity, incomplete cue extraction, and sensor dependency of data. Most recently, deep neural networks (DNN) have been widely applied for high classification accuracy in various areas including land-cover and

Multi-Sensor Image Fusion and Its Applications

Multi-Sensor Image Fusion and Its Applications
  • Author : Rick S. Blum,Zheng Liu
  • Publisher : CRC Press
  • Release : 03 October 2018
GET THIS BOOKMulti-Sensor Image Fusion and Its Applications

Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and

Air Pollution Modeling and its Application XX

Air Pollution Modeling and its Application XX
  • Author : Douw G. Steyn,S. T. Rao
  • Publisher : Springer Science & Business Media
  • Release : 15 March 2010
GET THIS BOOKAir Pollution Modeling and its Application XX

Recent developments in air pollution modelling are explored as a series of contributions from researchers at the forefront of their field. This book on air pollution modelling and its application is focused on local, urban, regional and intercontinental modelling; data assimilation and air quality forecasting; model assessment and evaluation; aerosol transformation; the relationship between air quality and human health and the effects of climate change on air quality. It consists of a series of papers that were presented at the 30