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Extreme Value Theory-Based Methods for Visual Recognition, Walter J. Scheirer



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Автор: Walter J. Scheirer
Название:  Extreme Value Theory-Based Methods for Visual Recognition   (Уолтер Шайрер: Теоретически обоснованные методы предельных значений для визуального распознавания)
Издательство: Turpin
Издательство: Morgan & Claypool Publishers
Классификация:
Искусственный интеллект
Компьютерное зрение

ISBN: 1627057005
ISBN-13(EAN): 9781627057004
ISBN: 1-62705-700-5
ISBN-13(EAN): 978-1-62705-700-4
Обложка/Формат: Paperback
Страницы: 131
Вес: 0.24 кг.
Дата издания: 28.02.2017
Серия: Synthesis lectures on computer vision
Язык: English
Размер: 235 x 191 x 7
Читательская аудитория: General (us: trade)
Ключевые слова: Artificial intelligence,Computer vision, COMPUTERS / Computer Vision & Pattern Recognition,COMPUTERS / Intelligence (AI) & Semantics
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Поставляется из: Англии
Описание: A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the average. From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.



Introduction to Time Series Using Stata

Автор: Becketti
Название: Introduction to Time Series Using Stata
ISBN: 1597181323 ISBN-13(EAN): 9781597181327
Издательство: Taylor&Francis
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Цена: 8546 р.
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Описание: Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.

Handbook of SAS® DATA Step Programming

Автор: Li
Название: Handbook of SAS® DATA Step Programming
ISBN: 1466552387 ISBN-13(EAN): 9781466552388
Издательство: Taylor&Francis
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Цена: 6005 р.
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Описание: To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step. The book helps novices avoid common mistakes resulting from a lack of understanding fundamental and unique SAS programming concepts. It explains that learning syntax does not solve all problems; rather, a thorough comprehension of SAS processing is needed for successful programming. The author also guides readers through a programming task. In most of the examples, the author first presents strategies and steps for solving the problem, then offers a solution, and finally gives a more detailed explanation of the solution. Understanding the DATA steps, particularly the program data vector (PDV), is critical to proper data manipulation and management in SAS. This book helps SAS programmers thoroughly grasp the concept of DATA step processing and write accurate programs in the DATA step. Numerous supporting materials, including data sets and programs used in the text, are available on the book’s CRC Press web page.

Extreme Events in Finance - A Handbook of Extreme Value Theory and its Applications

Автор: Francois Longin
Название: Extreme Events in Finance - A Handbook of Extreme Value Theory and its Applications
ISBN: 1118650190 ISBN-13(EAN): 9781118650196
Издательство: Wiley
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Цена: 13745 р.
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Описание: "Extreme Events in Finance: A Handbook of Extreme Value Theory and its Applications features a combination of the theory, methods, and applications of extreme value theory (EVT) in finance as well as a practical understanding of market behavior including both ordinary and extraordinary conditions"--

A Visual Guide to Stata Graphics, Third Edition

Автор: Mitchell
Название: A Visual Guide to Stata Graphics, Third Edition
ISBN: 1597181064 ISBN-13(EAN): 9781597181068
Издательство: Taylor&Francis
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Цена: 9701 р.
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Описание: Whether you are new to Stata graphics or a seasoned veteran, A Visual Guide to Stata Graphics, Third Edition will reach you how to use Stata to make publication-quality graphics that will stand out and enhance your statistical results. With over 900 illustrated examples and quick-reference tabs, this book quickly guides you to the information you need for creating and customizing high-quality graphs for any type of statistical data. Each graph is displayed in full color with simple and clear instructions that illustrate how to create and customize graphs using either Stata commands or the Stata Graph Editor. Stata’s powerful graphics system gives you complete control over how the elements of your graph look, from marker symbols to lines, from legends to captions and titles, from axis labels to grid lines, and more. Whether you use this book as a learning tool or a quick reference, you will have the power of Stata graphics at your fingertips. The third edition has been updated and expanded to reflect new Stat graphics features, and includes many additional examples. This updated edition illustrates new features to specify fonts and symbols. New sections have been added that illustrate the use of the marginsplot command as well as the use of contour plots.

Extreme value methods with applications to finance

Автор: Novak, Serguei Y.
Название: Extreme value methods with applications to finance
ISBN: 1439835748 ISBN-13(EAN): 9781439835746
Издательство: Taylor&Francis
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Цена: 11202 р.
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Описание:

Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers--in other words, to correct reality if it does not fit the model. Recognizing that any model is only an approximation of reality, statisticians are eager to extract information about unknown distribution making as few assumptions as possible.

Extreme Value Methods with Applications to Finance concentrates on modern topics in EVT, such as processes of exceedances, compound Poisson approximation, Poisson cluster approximation, and nonparametric estimation methods. These topics have not been fully focused on in other books on extremes. In addition, the book covers:

  • Extremes in samples of random size
  • Methods of estimating extreme quantiles and tail probabilities
  • Self-normalized sums of random variables
  • Measures of market risk

Along with examples from finance and insurance to illustrate the methods, Extreme Value Methods with Applications to Finance includes over 200 exercises, making it useful as a reference book, self-study tool, or comprehensive course text.

A systematic background to a rapidly growing branch of modern Probability and Statistics: extreme value theory for stationary sequences of random variables.

Finite element methods for Navier-Stokes equations : theory and algorithms

Автор: Vivette Girault; Pierre-Arnaud Raviart
Название: Finite element methods for Navier-Stokes equations : theory and algorithms
ISBN: 3642648886 ISBN-13(EAN): 9783642648885
Издательство: Springer
Цена: 8359 р.
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Описание: The material covered by this book has been taught by one of the authors in a post-graduate course on Numerical Analysis at the University Pierre et Marie Curie of Paris. It is an extended version of a previous text (cf. Girault & Raviart [32J) published in 1979 by Springer-Verlag in its series: Lecture Notes in Mathematics.

In the last decade, many engineers and mathematicians have concentrated their efforts on the finite element solution of the Navier-Stokes equations for incompressible flows. The purpose of this book is to provide a fairly comprehen- sive treatment of the most recent developments in that field. To stay within reasonable bounds, we have restricted ourselves to the case of stationary prob- lems although the time-dependent problems are of fundamental importance.

This topic is currently evolving rapidly and we feel that it deserves to be covered by another specialized monograph. We have tried, to the best of our ability, to present a fairly exhaustive treatment of the finite element methods for inner flows. On the other hand however, we have entirely left out the subject of exterior problems which involve radically different techniques, both from a theoretical and from a practical point of view.

Also, we have neither discussed the implemen- tation of the finite element methods presented by this book, nor given any explicit numerical result. This field is extensively covered by Peyret & Taylor [64J and Thomasset [82].

Energy Minimization Methods in Computer Vision and Pattern Recognition / Third International Workshop, EMMCVPR 2001, Sophia Antipolis France, September 3-5, 2001. Proceedings

Автор: Figueiredo Mario, Zerubia Josiane, Jain Anil K.
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition / Third International Workshop, EMMCVPR 2001, Sophia Antipolis France, September 3-5, 2001. Proceedings
ISBN: 3540425233 ISBN-13(EAN): 9783540425236
Издательство: Springer
Цена: 12016 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2001, held in Sophia Antipolis, France in September 2001. The 42 revised full papers presented were carefully reviewed and selected from 70 submissions. The book offers topical sections on probabilistic models and estimation; image modeling and synthesis; clustering, grouping, and segmentation; optimization and graphs; and shapes, curves, surfaces, and templates.

Electromagnetic Wave Theory for Boundary-Value Problems / An Advanced Course on Analytical Methods

Автор: Eom Hyo J.
Название: Electromagnetic Wave Theory for Boundary-Value Problems / An Advanced Course on Analytical Methods
ISBN: 3540212663 ISBN-13(EAN): 9783540212669
Издательство: Springer
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Цена: 10742 р.
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Описание: Electromagnetic wave theory is based on Maxwell's equations, and electromagnetic boundary-value problems must be solved to understand electromagnetic scattering, propagation, and radiation. Electromagnetic theory finds practical applications in wireless telecommunications and microwave engineering. This book is written as a text for a two-semester graduate course on electromagnetic wave theory. As such, Electromagnetic Wave Theory for Boundary-Value Problems is intended to help students enhance analytic skills by solving pertinent boundary-value problems. In particular, the techniques of Fourier transform, mode matching, and residue calculus are utilized to solve some canonical scattering and radiation problems.

Linguistic Values Based Intelligent Information Processing: Theory, Methods And Applications

Автор: Zheng Pei Et Al
Название: Linguistic Values Based Intelligent Information Processing: Theory, Methods And Applications
ISBN: 9078677112 ISBN-13(EAN): 9789078677116
Издательство: World Scientific Publishing
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Цена: 11734 р.
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Описание: This book focuses on systematic and intelligent information processing theories and methods based on linguistic values. The main contents include topics such as the 2-tuple model of linguistic values, 2-tuple linguistic aggregation operator hedge algebras, complete hedge algebras and linguistic value reasoning, reasoning with linguistic quantifiers, linguistic reasoning based on a random set, the fuzzy number model of linguistic values, linguistic value aggregation based on the fuzzy number model, extraction of linguistic proposition from a database and handling of linguistic information on the Internet, linguistic truth value lattice implication algebras, linguistic truth value resolution automatic reasoning, linguistic truth value reasoning based on lattice implication algebra, and related applications in decision-making and forecast.

Hybrid Methods In Pattern Recognition

Автор: Bunke H & Kandel A
Название: Hybrid Methods In Pattern Recognition
ISBN: 9810248326 ISBN-13(EAN): 9789810248321
Издательство: World Scientific Publishing
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Цена: 12309 р.
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Описание: The field of pattern recognition has seen enormous progress since its beginnings almost 5 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system.Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and others. Also included is recent work on multiple classifier systems. Furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 8430 р.
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Описание: Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks. The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand. Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Matrix Methods in Data Mining and Pattern Recognition

Автор: Lars Eld?n
Название: Matrix Methods in Data Mining and Pattern Recognition
ISBN: 0898716268 ISBN-13(EAN): 9780898716269
Издательство: Cambridge Academ
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Цена: 6557 р.
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Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.


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