a garcia manso and c j garcia orellana detection and classification of masses in mammograms using ica

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Daniel Duffy J. Financial Instrument Pricing Using C++

An integrated guide to C++ and computational finance This complete guide to C++ and computational finance is a follow-up and major extension to Daniel J. Duffy's 2004 edition of Financial Instrument Pricing Using C++. Both C++ and computational finance have evolved and changed dramatically in the last ten years and this book documents these improvements. Duffy focuses on these developments and the advantages for the quant developer by: Delving into a detailed account of the new C++11 standard and its applicability to computational finance. Using de-facto standard libraries, such as Boost and Eigen to improve developer productivity. Developing multiparadigm software using the object-oriented, generic, and functional programming styles. Designing flexible numerical algorithms: modern numerical methods and multiparadigm design patterns. Providing a detailed explanation of the Finite Difference Methods through six chapters, including new developments such as ADE, Method of Lines (MOL), and Uncertain Volatility Models. Developing applications, from financial model to algorithmic design and code, through a coherent approach. Generating interoperability with Excel add-ins, C#, and C++/CLI. Using random number generation in C++11 and Monte Carlo simulation. Full source code is available by registering at www.datasimfinancial.com. Duffy adopted a spiral model approach while writing each chapter of Financial Instrument Pricing Using C++ 2e: analyse a little, design a little, and code a little. Each cycle ends with a working prototype in C++ and shows how a given algorithm or numerical method works. Additionally, each chapter contains non-trivial exercises and projects that discuss improvements and extensions to the material. This book is for designers and application developers in computational finance, and assumes the reader has some fundamental experience of C++ and derivatives pricing.

7330.25 рублей

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Garcia Marquez G. One Hundred Years of Solitude

One Hundred Years of Solitude tells the story of the rise and fall, birth and death of the mythical town of Macondo through the history of the Buendia family. Inventive, amusing, magnetic, sad, and alive with unforgettable men and women -- brimming with truth, compassion, and a lyrical magic that strikes the soul -- this novel is a masterpiece in the art of fiction.

746 рублей

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J. Durham J. An Act of Mercy: A gripping historical mystery set in Victorian London

A thrilling tale of murder and intrigue in Victorian London, featuring Detective Harry Pilgrim. Perfect for fans of S. J. PARIS and C. J. SANSOM. Previously published as A KILLING KINDNESS.London 1850. A city of contrasts. Of scientific marvels, poverty, disease and death.When Detective Sergeant Harry Pilgrim (one of London’s first police detectives) discovers the corpse of a woman in a Hackney cab, the case seems straightforward – until the only suspect is found murdered in his cell.Pilgrim is hindered in his investigation by his own dark past – a dead son and a missing wife – and also by the well-meaning interference of Charles Dickens, who is serialising Pilgrim's adventures in his journal 'Household Words'.The case turns into a deadly game of cat and mouse. But who is the cat and who the mouse?

228.94 рублей

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Garcia Martinez Antonio Chaos Monkeys. Inside the Silicon Valley Money Machine

An adrenaline-fuelled expose of life inside the tech bubble, Chaos Monkeys lays bare the secrets, power plays and lifestyle excesses of the visionaries, grunts, sociopaths, opportunists and money cowboys who are revolutionising our world. Written by startup CEO and industry provocateur Antonio Garcia Martinez, this is Liar's Poker meets The Social Network. Computer engineers use `chaos monkey' software to wreak havoc and test system robustness. Similarly, tech entrepreneurs like Antonio Garcia Martinez are society's chaos monkeys - their innovations disrupt every aspect of our lives, from transportation (Uber) and holidays (Airbnb) to television (Netflix) and dating (Tinder) - all in search of the perfect business miracle. Describing himself as `high-strung, fast-talking, and wired on a combination of caffeine, fear, and greed at all times', Garcia Martinez left Wall Street to make his fortune in Silicon Valley, becoming CEO of his own startup, before bailing and being poached by Facebook's nascent advertising team. Here he turned users' data into profit for COO Sheryl Sandberg and chairman and CEO Mark `Zuck' Zuckerberg. Forced out of Facebook in the wake of a bitter internal product war, Garcia Martinez took his unique brand of entrepreneurial hyperactivity to rivals Twitter. Along the way, he got into a lot of trouble with a lot of people, brewed illegal beer on the Facebook campus (accidentally flooding Zuckerberg's desk), lived on a yacht, raced sport cars on the highway, and enthusiastically pursued the lifestyle of an overpaid Silicon Valley mercenary. In Chaos Monkeys he tells you HOW - and HOW NOT - to make a fortune through startups and digital marketing. Highly entertaining and always offering genuine insight, Garcia Martinez unravels the chaotic evolution of social media and online marketing. From startups and credit derivatives to Big Brother and data tracking, social media monetisation and digital `privacy', he shares both his scathing observations and outrageous antics, taking us on a subversive and very funny tour of the fascinatingly insular and unbelievably wealthy tech industry.

943 рублей

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Xianchuan Yu Blind Source Separation. Theory and Applications

A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies The book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on matrix algebra and foundations of probability theory) are essential in order to understand the algorithms, although the book is written in an introductory, accessible style. This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field. A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies Presents new improved algorithms aimed at different applications, such as image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition, and MRI medical image processing With applications in geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition Written by an expert team with accredited innovations in blind source separation and its applications in natural science Accompanying website includes a software system providing codes for most of the algorithms mentioned in the book, enhancing the learning experience Essential reading for postgraduate students and researchers engaged in the area of signal processing, data mining, image processing and recognition, information, geosciences, life sciences.

13556.99 рублей

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Bert Popping Molecular Biological and Immunological Techniques and Applications for Food Chemists

A guide to using molecular biology and immunological methods for the analysis of food Many of the analytical problems that food chemists face in the lab cannot be solved by chemistry alone, and so analytical chemists are turning to molecular biology and immunology for alternative approaches. Molecular Biological and Immunological Techniques and Applications for Food Chemists comprehensively explains the most important molecular biology and immunology methods, and illustrates their application in food analysis. Written by a distinguished group of experts, the coverage includes: Molecular Biological Methods—techniques explained, laboratory layout, PCR, real-time PCR, RFLP, SSCP, and sequencing Molecular Biology Applications—meat, genetically modified organisms (GMOs), food allergens, offal, and fish Immunological Methods—techniques explained and antibody-based detection methods Immunology Applications—animal speciation, international food allergen regulations (except Japanese), Japanese regulations and buckwheat allergen detection, egg allergen detection, soy allergen detection, milk allergen detection, gluten allergen detection, nut allergen detection, fish allergen detection, lupin allergen detection, mustard allergen detection, and celery allergen detection Clearly written and consistently edited to provide information to a wide range of readers, Molecular Biological and Immunological Techniques and Applications for Food Chemists offers an up-to-date reference for food scientists in government and industry, policymakers, and graduate-level students of food science, technology, and engineering. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

11600.13 рублей

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Boguslaw Cyganek Object Detection and Recognition in Digital Images. Theory and Practice

Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

10077.29 рублей

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Alberto Garcia-Alix: From Where There Is No Return

Alberto Garcia-Alix (born 1956) is widely considered Spain's most popular contemporary photographer. Emerging from the post-Franco era of free expression known as "La Movida" Garcia-Alix vividly captured Madrid's countercultural revolution in the late 1970s and 80s. Surveying the artist's career, this publication spans that pivotal period to the present, examining his work in multiple genres.

4309 рублей

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Ronald Tyrl J. Toxic Plants of North America

Toxic Plants of North America, Second Edition is an up-to-date, comprehensive reference for both wild and cultivated toxic plants on the North American continent. In addition to compiling and presenting information about the toxicology and classification of these plants published in the years since the appearance of the first edition, this edition significantly expands coverage of human and wildlife—both free-roaming and captive—intoxications and the roles of secondary compounds and fungal endophytes in plant intoxications. More than 2,700 new literature citations document identification of previously unknown toxicants, mechanisms of intoxication, additional reports of intoxication problems, and significant changes in the classification of plant families and genera and associated changes in plant nomenclature. Toxic Plants of North America, Second Edition is a comprehensive, essential resource for veterinarians, toxicologists, agricultural extension agents, animal scientists, and poison control professionals.

23850.95 рублей

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Christian Wittekind TNM Atlas

The complete, authoritative TNM cancer classification and staging system—now illustrated with new, full-colour figures for fast, effective, anatomical referencing Referring to “Tumour,” “Node,” and “Metastasis,” the TNM system is the most widely used means for classifying and staging the extent of cancer spread. Published in affiliation with the Union for International Cancer Control (UICC), TNM Atlas, Sixth Edition presents the illustrated version of the TNM Classification of Malignant Tumours, Seventh Edition, promoting the uniform application of the TNM classification in cancer practice. Utilizing beautiful, full-colour medical artwork—illustrating the T and N categories in clear, easily understood graphics—this book aides in the practical application of the TNM classification system. It enables all disciplines involved in cancer classification, staging, and treatment to reach a more standardized understanding and documentation of the anatomical spread of tumours, and further enhances the dissemination and use of the TNM classification. The TNM Atlas, Sixth Edition: • Is based upon the very latest TNM Classification data available in TNM Classification of Malignant Tumours, Seventh Edition • Features over 500 full-colour figures that clearly illustrate and highlight anatomical sites of cancer involvement • Makes TNM classification even more clinically applicable in the day-to-day environment • Is an extremely useful tool for clinical reference, teaching, discussion, and patient education Based in Geneva, the UICC is one of the most widely affiliated cancer organisations in the world, with its core mission being cancer classification and control. Its TNM Atlas, Sixth Edition is a valuable reference for all medical, surgical, and radiation oncologists, anatomical and surgical pathologists, cancer registrars, oncology nurses and physician extenders, international cancer care centres, and governmental and NGOs dedicated to cancer control. This title is also available as a mobile App from MedHand Mobile Libraries. Buy it now from Google Play.

8264.88 рублей

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Esteban Alfaro Ensemble Classification Methods with Applications in R

An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Applications in R introduces the concepts and principles of ensemble classifiers methods and includes a review of the most commonly used techniques. This important resource shows how ensemble classification has become an extension of the individual classifiers. The text puts the emphasis on two areas of machine learning: classification trees and ensemble learning. The authors explore ensemble classification methods’ basic characteristics and explain the types of problems that can emerge in its application. Written by a team of noted experts in the field, the text is divided into two main sections. The first section outlines the theoretical underpinnings of the topic and the second section is designed to include examples of practical applications. The book contains a wealth of illustrative cases of business failure prediction, zoology, ecology and others. This vital guide: Offers an important text that has been tested both in the classroom and at tutorials at conferences Contains authoritative information written by leading experts in the field Presents a comprehensive text that can be applied to courses in machine learning, data mining and artificial intelligence Combines in one volume two of the most intriguing topics in machine learning: ensemble learning and classification trees Written for researchers from many fields such as biostatistics, economics, environment, zoology, as well as students of data mining and machine learning, Ensemble Classification Methods with Applications in R puts the focus on two topics in machine learning: classification trees and ensemble learning.

7967.66 рублей

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Paul Gamache H. Charged Aerosol Detection for Liquid Chromatography and Related Separation Techniques

The first book devoted exclusively to a highly popular, relatively new detection technique Charged Aerosol Detection for Liquid Chromatography and Related Separation Techniques presents a comprehensive review of CAD theory, describes its advantages and limitations, and offers extremely well-informed recommendations for its practical use. Using numerous real-world examples based on contributors’ professional experiences, it provides priceless insights into the actual and potential applications of CAD across a wide range of industries. Charged aerosol detection can be combined with a variety of separation techniques and in numerous configurations. While it has been widely adapted for an array of industrial and research applications with great success, it is still a relatively new technique, and its fundamental performance characteristics are not yet fully understood. This book is intended as a tool for scientists seeking to identify the most effective and efficient uses of charged aerosol detection for a given application. Moving naturally from basic to advanced topics, the author relates fundamental principles, practical uses, and applications across a range of industrial settings, including pharmaceuticals, petrochemicals, biotech, and more. Offers timely, authoritative coverage of the theory, experimental techniques, and end-user applications of charged aerosol detection Includes contributions from experts from various fields of applications who explore CAD’s advantages over traditional HPLC techniques, as well its limitations Provides a current theoretical and practical understanding of CAD, derived from authorities on aerosol technology and separation sciences Features numerous real-world examples that help relate fundamental properties and general operational variables of CAD to its performance in a variety of conditions Charged Aerosol Detection for Liquid Chromatography and Related Separation Techniques is a valuable resource for scientists who use chromatographic techniques in academic research and across an array of industrial settings, including the biopharmaceutical, biotechnology, biofuel, chemical, environmental, and food and beverage industries, among others.

9787.72 рублей

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Barbara Bain J. Leukaemia Diagnosis

From the bestselling author, Barbara J. Bain, the new edition of this practical reference on the principles of leukaemia diagnosis and classification has been fully updated, and incorporates the recently revised WHO classification. Leukaemias are a very heterogeneous group of diseases, which differ from each other in aetiology, pathogenesis, prognosis and responsiveness to treatment. Accurate diagnosis and classification are vital for the identification of specific biological entities and underpin scientific advances in this field. The detailed characterization of haematological neoplasms is also essential for the optimal management of individual patients. In this user-friendly guide, Professor Bain illustrates and explains how these many laboratory techniques are used for the diagnosis and classification of leukaemia and related disorders. Leukaemia Diagnosis, Fifth Edition will be highly valuable to trainee haematologists and laboratory scientists in haematology and related disciplines, and will also prove a useful reference source and teaching aid for those who already have expertise in this field. In addition, cytogeneticists and molecular geneticists will find that this book enhances their understanding of the relationship of their disciplines to the diagnosis, classification and monitoring of leukaemia and related disorders. Essential reading for every haematologist and haematopathologist, Leukaemia Diagnosis, Fifth Edition features Over 300 high quality full colour digital images of abnormal cells in leukaemia and lymphoma supplemented by histological, cytogenetic and immunophenotyping images Recent information on cytogenetic and molecular genetic abnormalities in leukaemia Updated information on the characteristic immunophenotypic characteristics of different categories of leukaemia

11962.62 рублей

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Wieslaw Staszewski Advanced Structural Damage Detection. From Theory to Engineering Applications

Structural Health Monitoring (SHM) is the interdisciplinary engineering field devoted to the monitoring and assessment of structural health and integrity. SHM technology integrates non-destructive evaluation techniques using remote sensing and smart materials to create smart self-monitoring structures characterized by increased reliability and long life. Its applications are primarily systems with critical demands concerning performance where classical onsite assessment is both difficult and expensive. Advanced Structural Damage Detection: From Theory to Engineering Applications is written by academic experts in the field and provides students, engineers and other technical specialists with a comprehensive review of recent developments in various monitoring techniques and their applications to SHM. Contributing to an area which is the subject of intensive research and development, this book offers both theoretical principles and feasibility studies for a number of SHM techniques. Key features: Takes a multidisciplinary approach and provides a comprehensive review of main SHM techniques Presents real case studies and practical application of techniques for damage detection in different types of structures Presents a number of new/novel data processing algorithms Demonstrates real operating prototypes Advanced Structural Damage Detection: From Theory to Engineering Applications is a comprehensive reference for researchers and engineers and is a useful source of information for graduate students in mechanical and civil engineering

11596.01 рублей

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Gilles Gasser Inorganic Chemical Biology. Principles, Techniques and Applications

Understanding, identifying and influencing the biological systems are the primary objectives of chemical biology. From this perspective, metal complexes have always been of great assistance to chemical biologists, for example, in structural identification and purification of essential biomolecules, for visualizing cellular organelles or to inhibit specific enzymes. This inorganic side of chemical biology, which continues to receive considerable attention, is referred to as inorganic chemical biology. Inorganic Chemical Biology: Principles, Techniques and Applications provides a comprehensive overview of the current and emerging role of metal complexes in chemical biology. Throughout all of the chapters there is a strong emphasis on fundamental theoretical chemistry and experiments that have been carried out in living cells or organisms. Outlooks for the future applications of metal complexes in chemical biology are also discussed. Topics covered include: • Metal complexes as tools for structural biology • IMAC, AAS, XRF and MS as detection techniques for metals in chemical biology • Cell and organism imaging and probing DNA using metal and metal carbonyl complexes • Detection of metal ions, anions and small molecules using metal complexes • Photo-release of metal ions in living cells • Metal complexes as enzyme inhibitors and catalysts in living cells Written by a team of international experts, Inorganic Chemical Biology: Principles, Techniques and Applications is a must-have for bioinorganic, bioorganometallic and medicinal chemists as well as chemical biologists working in both academia and industry.

13844.61 рублей

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Talbot John Stephens' Detection and Evaluation of Adverse Drug Reactions. Principles and Practice

The detection and evaluation of adverse drug reactions is crucial for understanding the safety of medicines and for preventing harm in patients. Not only is it necessary to detect new adverse drug reactions, but the principles and practice of pharmacovigilance apply to the surveillance of a wide range of medicinal products. Stephens' Detection and Evaluation of Adverse Drug Reactions provides a comprehensive review of all aspects of adverse drug reactions throughout the life cycle of a medicine, from toxicology and clinical trials through to pharmacovigilance, risk management, and legal and regulatory requirements. It also covers the safety of biotherapeutics and vaccines and includes new chapters on pharmacogenetics, proactive risk management, societal considerations, and the safety of drugs used in oncology and herbal medicines. This sixth edition of the classic text on drug safety is an authoritative reference text for all those who work in pharmacovigilance or have an interest in adverse drug reactions, whether in regulatory authorities, pharmaceutical companies, or academia. Praise for previous editions "This book presents a comprehensive and wide-ranging overview of the science of pharmacovigilance. For those entering or already experienced in the pharmaceutical sciences, this is an essential work.” – from a review in E-STREAMS «…a key text in the area of pharmacovigilance…extensively referenced and well-written…a valuable resource…» – from a review in The Pharmaceutical Journal

30519.33 рублей

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Shuo Wang Food Chemical Hazard Detection. Development and Application of New Technologies

Food chemical safety remains a serious concern to the food industry. Risks such as adulteration, the existence of toxic and allergenic compounds in foods, and poor regulation of postharvest processing indicate that food chemical safety is not fully guaranteed. With the increasing trend of globalization in the import and export of food products, the importance of employing accurate and reliable analytical instruments to rapidly detect chemical hazards in foods has become paramount. In recent years, many new applications for using a range of analytical methods to detect food chemical hazards have emerged. Food Chemical Hazard Detection: Development and Application of New Technologies aims to cover the major developments and applications in this field. With a far-reaching scope, this book includes sections dedicated to chromatography tandem mass spectrometry, immunoassay, biophotonics, nanotechnology, biosensors and microfluidic based “lab-on-a-chip”. A team of expert authors from major academic institutions in the USA, Canada and China bring a wealth of research experiences to bear in this major new work, which will be required reading for anyone interested in food chemical hazards and their effective detection and intervention strategies. Food Chemical Hazard Detection: Development and Application of New Technologies is aimed at a diverse audience, including food safety testing laboratories, scientists and managers in the global food supply chain, academic institutions, governmental regulatory agencies and food safety training providers. Readers will receive not only the fundamentals about different detection techniques, but will also gain insights into the current and future applications of each technique.

14931.26 рублей

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Sunder Gee Fraud and Fraud Detection. A Data Analytics Approach

Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.

4712.28 рублей

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A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies The book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on matrix algebra and foundations of probability theory) are essential in order to understand the algorithms, although the book is written in an introductory, accessible style. This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field. A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies Presents new improved algorithms aimed at different applications, such as image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition, and MRI medical image processing With applications in geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition Written by an expert team with accredited innovations in blind source separation and its applications in natural science Accompanying website includes a software system providing codes for most of the algorithms mentioned in the book, enhancing the learning experience Essential reading for postgraduate students and researchers engaged in the area of signal processing, data mining, image processing and recognition, information, geosciences, life sciences.

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