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Author: Martin Fowler
Publisher: Addison-Wesley Professional
ISBN: 9780201895421
Category : Object-oriented methods (Computer science).
Languages : en
Pages : 398
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Book Description
Martin Fowler is a consultant specializing in object-oriented analysis and design. This book presents and discusses a number of object models derived from various problem domains. All patterns and models presented have been derived from the author's own consulting work and are based on real business cases.
Author: Martin Fowler
Publisher: Addison-Wesley Professional
ISBN: 9780201895421
Category : Object-oriented methods (Computer science).
Languages : en
Pages : 398
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Book Description
Martin Fowler is a consultant specializing in object-oriented analysis and design. This book presents and discusses a number of object models derived from various problem domains. All patterns and models presented have been derived from the author's own consulting work and are based on real business cases.
Author: H. Niemann
Publisher: Springer Science & Business Media
ISBN: 3642966500
Category : Computers
Languages : en
Pages : 316
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Book Description
This book is devoted to pattern analysis, that is, the automatic construc tion of a symbolic description for a complex pattern, like an image or con nected speech. Pattern analysis thus tries to simulate certain capabilities which go without saying in any human central nervous system. The increasing interest and growing efforts at solving the problems related with pattern analysis are motivated by the challenge of the problem and the expected ap plications. Potential applications are numerous and result from the fact that data can be gathered and stored by modern devices in ever increasing extent, thus making the finding of particular interesting facts or events in these hosts of data an ever increasing problem. It was tried to organize the book around one particular view of pattern analysis: the view that pattern analysis requires an appropriate set of modules operating on a common data base which contains interme processing diate results of processing. Although other views are certainly possible, this one was adopted because the author feels that it is a useful idea, be cause the size of this book had to be kept within reasonable bounds, and because it facilitated the composition of fairly self-contained chapters.
Author: John Shawe-Taylor
Publisher: Cambridge University Press
ISBN: 9780521813976
Category : Computers
Languages : en
Pages : 520
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Book Description
Publisher Description
Author: Barry N. Boots
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 104
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Book Description
Boots and Getis provide a concise explanation of point pattern analysis - a series of techniques for identifying patterns of clustering or regularity in a set of geographical locations. They discuss quadrat and distance methods of measurement, and consider the problems associated with these methods. The authors also outline and compare other measures of arrangement, suggesting when these techniques should be used.
Author: Tom Bevel
Publisher: CRC Press
ISBN: 1420041258
Category : Law
Languages : en
Pages : 420
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Book Description
Bloodstain pattern analysis helps establish events associated with violent crimes. It is a critical bridge between forensics and the definition of a precise crime reconstruction. The second edition of this bestselling book is thoroughly updated to employ recent protocols, including the application of scientific method, the use of flow charts, and the inter-relationship of crime scene analysis to criminal profiling. It provides more illustrations, including color photographs, and explains the use of computer programs to create demonstrative evidence for court.
Author: Stuart H. James
Publisher: CRC Press
ISBN: 1420039466
Category : Law
Languages : en
Pages : 574
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Book Description
As witnessed in landmark criminal cases, the quality and integrity of bloodstain evidence can be a crucial factor in determining a verdict.
Author: Nanning Zheng
Publisher: Springer Science & Business Media
ISBN: 1848823126
Category : Computers
Languages : en
Pages : 371
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Book Description
Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing ?elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.
Author: David Mumford
Publisher: CRC Press
ISBN: 1439865566
Category : Computers
Languages : en
Pages : 422
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Book Description
Pattern theory is a distinctive approach to the analysis of all forms of real-world signals. At its core is the design of a large variety of probabilistic models whose samples reproduce the look and feel of the real signals, their patterns, and their variability. Bayesian statistical inference then allows you to apply these models in the analysis o
Author: Marcello Pelillo
Publisher: Springer Science & Business Media
ISBN: 1447156285
Category : Computers
Languages : en
Pages : 293
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Book Description
This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a “kernel tailoring” approach and a strategy for learning similarities directly from training data; describes various methods for “structure-preserving” embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imaging applications.
Author: Sherif M. Yacoub
Publisher: Addison-Wesley Professional
ISBN: 9780201776409
Category : Computers
Languages : en
Pages : 416
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Book Description
- Exploit the significant power of design patterns and make better design decisions with the proven POAD methodology - Improve software quality and reliability while reducing costs and maintenance efforts - Practical case studies and illustrative examples help the reader manage the complexity of software development
