Dictionary of Distances

This book comes out of need and urgency (expressed especially in areas of Information Retrieval with respect to Image, Audio, Internet and Biology) to have a working tool to compare data. The book will provide powerful resource for all researchers using Mathematics as well as for mathematicians themselves. In the time when over-specialization and terminology fences isolate researchers, this Dictionary try to be "centripedal" and "oikoumeni", providing some access and altitude of vision but without taking the route of scientific vulgarisation. This attempted balance is the main philosophy of this Dictionary which defined its structure and style. Key features: - Unicity: it is the first book treating the basic notion of Distance in whole generality. - Interdisciplinarity: this Dictionary is larger in scope than majority of thematic dictionaries. - Encyclopedicity: while an Encyclopedia of Distances seems now too difficult to produce, this book (by its scope, short introductions and organization) provides the main material for it and for future tutorials on some parts of this material. - Applicability: the distances, as well as distance-related notions and paradigms, are provided in ready-to-use fashion. - Worthiness: the need and urgency for such dictionary was great in several huge areas, esp. Information Retrieval, Image Analysis, Speech Recognition and Biology. - Accessibility: the definitions are easy to locate by subject or, in Index, by alphabetic order; the introductions and definitions are reader-friendly and maximally independent one from another; still the text is structured, in the 3D HTML style, by hyperlink-like boldfaced references to similar definitions. * Covers a large range of subjects in pure and applied mathematics * Designed to be easily applied--the distances and distance-related notions and paradigms are ready to use * Helps users quickly locate definitions by subject or in alphabetical order; stand-alone entries include references to other entries and sources for further investigation

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  • Author : Michel-Marie Deza
  • Publisher : Elsevier
  • Pages : 412 pages
  • ISBN : 0080465544
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKDictionary of Distances

Dictionary of Distances

Dictionary of Distances
  • Author : Michel-Marie Deza,Elena Deza
  • Publisher : Elsevier
  • Release : 16 November 2006
GET THIS BOOKDictionary of Distances

This book comes out of need and urgency (expressed especially in areas of Information Retrieval with respect to Image, Audio, Internet and Biology) to have a working tool to compare data. The book will provide powerful resource for all researchers using Mathematics as well as for mathematicians themselves. In the time when over-specialization and terminology fences isolate researchers, this Dictionary try to be "centripedal" and "oikoumeni", providing some access and altitude of vision but without taking the route of scientific

Encyclopedia of Distances

Encyclopedia of Distances
  • Author : Michel Marie Deza,Elena Deza
  • Publisher : Springer Science & Business Media
  • Release : 28 May 2009
GET THIS BOOKEncyclopedia of Distances

Distance metrics and distances have become an essential tool in many areas of pure and applied Mathematics, and this encyclopedia is the first one to treat the subject in full. The book appears just as research intensifies into metric spaces and especially, distance design for applications. These distances are particularly crucial, for example, in computational biology, image analysis, speech recognition, and information retrieval. Here, an assessment of the practical questions arising during selection of a "good'' distance function has been

Encyclopedia of Distances

Encyclopedia of Distances
  • Author : Michel Marie Deza,Elena Deza
  • Publisher : Springer
  • Release : 08 October 2014
GET THIS BOOKEncyclopedia of Distances

This updated and revised third edition of the leading reference volume on distance metrics includes new items from very active research areas in the use of distances and metrics such as geometry, graph theory, probability theory and analysis. Among the new topics included are, for example, polyhedral metric space, nearness matrix problems, distances between belief assignments, distance-related animal settings, diamond-cutting distances, natural units of length, Heidegger’s de-severance distance, and brain distances. The publication of this volume coincides with intensifying

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  • Author : Anurag Gupta,G.P. Biswas
  • Publisher : McGraw-Hill Education
  • Release : 06 April 2020
GET THIS BOOKPython Programming: Problem Solving, Packages and Libraries

This textbook on Python programming is meant for all interested people in Python- from beginners to those seeking to graduate to the advanced level, researchers, professionals, aspiring data analysts and data visualizers. Based on Python 3.X, the textbook covers the basic essential components in understanding of pythons and a dozen of Python libraries such as NumPy, SciPy, sympy, and pandas. Each concept is explained with help of codes, solved examples, figures and screenshots followed by exhaustive chapter-end exercises. Advanced topics,

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  • Publisher : World Scientific
  • Release : 06 May 2016
GET THIS BOOKGeneralizations Of Finite Metrics And Cuts

This book introduces oriented version of metrics and cuts and their multidimensional analogues, as well as partial metrics and weighted metrics. It is a follow-up of Geometry of Cuts and Metrics by Deza and Laurent which presents rich theory of classical binary and symmetric objects — metrics and cuts.Many research publications on this subject are devoted to different special aspects of the theory of generalized metrics. However, they are disconnected one from other, often written in different mathematical language, consider

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  • Publisher : CRC Press
  • Release : 08 November 2018
GET THIS BOOKEncyclopedia of Image Processing

The Encyclopedia of Image Processing presents a vast collection of well-written articles covering image processing fundamentals (e.g. color theory, fuzzy sets, cryptography) and applications (e.g. geographic information systems, traffic analysis, forgery detection). Image processing advances have enabled many applications in healthcare, avionics, robotics, natural resource discovery, and defense, which makes this text a key asset for both academic and industrial libraries and applied scientists and engineers working in any field that utilizes image processing. Written by experts from

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  • Author : Jeffrey Humpherys,Tyler J. Jarvis
  • Publisher : SIAM
  • Release : 10 March 2020
GET THIS BOOKFoundations of Applied Mathematics, Volume 2

In this second book of what will be a four-volume series, the authors present, in a mathematically rigorous way, the essential foundations of both the theory and practice of algorithms, approximation, and optimization—essential topics in modern applied and computational mathematics. This material is the introductory framework upon which algorithm analysis, optimization, probability, statistics, machine learning, and control theory are built. This text gives a unified treatment of several topics that do not usually appear together: the theory and analysis

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  • Author : Foster Provost,Tom Fawcett
  • Publisher : "O'Reilly Media, Inc."
  • Release : 27 July 2013
GET THIS BOOKData Science for Business

Annotation This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data-mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques.

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  • Author : Xiaoling Shu
  • Publisher : University of California Press
  • Release : 04 February 2020
GET THIS BOOKKnowledge Discovery in the Social Sciences

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge.

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  • Author : Andrey Popoff
  • Publisher : CRC Press
  • Release : 19 April 2022
GET THIS BOOKFundamentals of Signal Processing in Generalized Metric Spaces

Exploring the interrelations between generalized metric spaces, lattice-ordered groups, and order statistics, the book contains a new algebraic approach to Signal Processing Theory. It describes mathematical concepts and results important in the development, analysis, and optimization of signal processing algorithms intended for various applications. The book offers a solution of large-scale Signal Processing Theory problems of increasing both signal processing efficiency under prior uncertainty conditions and signal processing rate that is provided by multiplication-free signal processing algorithms based on lattice-ordered

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  • Publisher : Springer Science & Business Media
  • Release : 10 June 2011
GET THIS BOOKMeta-Learning in Computational Intelligence

Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules

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  • Publisher : Springer Nature
  • Release : 17 May 2022
GET THIS BOOKAdvanced Studies in Classification and Data Science

This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines. In addition to sharing theoretical and methodological findings, the book shows how to apply

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  • Author : Ning-Sun Yang
  • Publisher : BoD – Books on Demand
  • Release : 12 September 2011
GET THIS BOOKSystems and Computational Biology

Whereas some "microarray" or "bioinformatics" scientists among us may have been criticized as doing "cataloging research", the majority of us believe that we are sincerely exploring new scientific and technological systems to benefit human health, human food and animal feed production, and environmental protections. Indeed, we are humbled by the complexity, extent and beauty of cross-talks in various biological systems; on the other hand, we are becoming more educated and are able to start addressing honestly and skillfully the various