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Amit Konar Emotion Recognition. A Pattern Analysis Approach


A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signals This book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature selection, feature reduction, classifier design and multi-modal fusion to improve performance of emotion-classifiers. Written by several experts, the book includes several tools and techniques, including dynamic Bayesian networks, neural nets, hidden Markov model, rough sets, type-2 fuzzy sets, support vector machines and their applications in emotion recognition by different modalities. The book ends with a discussion on emotion recognition in automotive fields to determine stress and anger of the drivers, responsible for degradation of their performance and driving-ability. There is an increasing demand of emotion recognition in diverse fields, including psycho-therapy, bio-medicine and security in government, public and private agencies. The importance of emotion recognition has been given priority by industries including Hewlett Packard in the design and development of the next generation human-computer interface (HCI) systems. Emotion Recognition: A Pattern Analysis Approach would be of great interest to researchers, graduate students and practitioners, as the book Offers both foundations and advances on emotion recognition in a single volume Provides a thorough and insightful introduction to the subject by utilizing computational tools of diverse domains Inspires young researchers to prepare themselves for their own research Demonstrates direction of future research through new technologies, such as Microsoft Kinect, EEG systems etc.

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Pramod Bhat Stroke Analysis on CT Images: A Pattern Recognition Approach


Stroke Analysis on CT Images: A Pattern Recognition Approach discusses briefly everything from stroke,it's causes, conventional methods of stroke analysis on CT images to analysis using texture properties and classification of CT images. Texture analysis and other pattern recognition approaches ,for stroke analysis, are largely discussed in this book with examples and great number of formulas, and real results. A great reference for beginners.

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Dipankar Das Studies on Emotion Analysis at Word and Sentence Level


Emotion Analysis from Natural Language Texts is gaining ground under the umbrella of subjectivity analysis and affect computing. In this Book, concepts, motivation, approaches and applications of Emotion Analysis are discussed in terms of the main challenging tasks such as feature representation schema and emotion classification at word and sentence level granularities. A prototype is described and assessed to analyse emotions, its components and their association from different available datasets. Experiments and final outcomes highlight the promise of the approach and some open research problems.

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S. Layne Russell A Guide to Legal Analysis, Research and Writing. Systems Approach


Книга "A Guide to Legal Analysis, Research and Writing. A Systems Approach".

3089 РУБ

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SARA MAAD SASANE, AMOL SASANE FRIENDLY APPROACH TO COMPLEX ANALYSIS, A


Книга "FRIENDLY APPROACH TO COMPLEX ANALYSIS, A".

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Shirley Gatenio Gabel A Rights-Based Approach to Social Policy Analysis


Книга "A Rights-Based Approach to Social Policy Analysis".

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Elaine Knuth Trading Between the Lines. Pattern Recognition and Visualization of Markets


Insights into a pattern-based method of trading that can increase the likelihood of profitable outcomes While most books on chart patterns, or pattern recognition, offer detailed discussion and analysis of one type of pattern, the fact is that a single pattern may not be very helpful for trading, since it often does not give a complete picture of the market. What sets Trading Between the Lines apart from other books in this area is author Elaine Knuths identification of sets of patterns that give a complete analysis of the market. In it, she identifies more complex chart patterns, often several patterns combined over multiple time frames, and skillfully examines these sets of patterns called «constellations» in relation to one another. These constellations turn sets of individual patterns into a more manageable set of patterns, where the relationship between them can lead to tactical trading opportunities. Shows how to apply complex patterns to specific trades and identify opportunities as well entry and exit points Markets covered include commodities, equities, and indexes Presents an effective trading approach based on real market cycles-as opposed to computer simulations-that are found in active markets Moving beyond the simple identification of basic patterns to identifying pattern constellations, this reliable resource will give you a better view of what is really going on in the market and help you profit from the opportunities you uncover.

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Amit Konar Artificial Intelligence And Soft Computing: Behavioral Cognitive Modeling of The Human Brain


Эта книга — репринт оригинального издания, созданный на основе электронной копии высокого разрешения, которую очистили и обработали вручную, сохранив структуру и орфографию оригинального издания. Редкие, забытые и малоизвестные книги, изданные с петровских времен до наших дней, вновь доступны в виде печатных книг.

1198 РУБ

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Stuart, Michael Stuart An Introduction to Statistical Analysis for Business and Industry. A Problem Solving Approach


Книга "An Introduction to Statistical Analysis for Business and Industry. A Problem Solving Approach".

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Nadia Ibrahem and Saheb Al-Saidy Convex Weighted Multi Approximation


The approximation theory is a scope of mathematical analysis, which at its essence, is interested with the approximation of functions by simpler and more easily calculated functions. This theory has widely influenced such other areas of mathematics as orthogonal polynomials, partial differential equations, harmonic analysis, and wavelet analysis. Some modern applications include computer graphics, signal processing, economic forecasting, and pattern recognition.

3167 РУБ

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Mourad Elloumi Pattern Recognition in Computational Molecular Biology. Techniques and Approaches


A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

10755.4 РУБ

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Larry W. McEachin Mind, Body, and Spirit. Poems about Drugs, Feeling Emotion, the ABC of School Sports, Analysis Tomorrow


Книга "Mind, Body, and Spirit. Poems about Drugs, Feeling and Emotion, the ABC of School Sports, Analysis of Tomorrow".

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CCPS (Center for Chemical Process Safety) Guidelines Combustible Dust Hazard Analysis


This book describes how to conduct a Combustible Dust Hazard Analysis (CDHA) for processes handling combustible solids. The book explains how to do a dust hazard analysis by using either an approach based on compliance with existing consensus standards, or by using a risk based approach. Worked examples in the book help the user understand how to do a combustible dust hazards analysis.

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Analytical Fifth Reader. Containing an Introductory Article on the General Principles of Elocution, With a Thorough Method Analysis, Intended to Develop Pupils Appreciation Thought and Emotion, Critical Phonic Analysis English ...


Книга "Analytical Fifth Reader. Containing an Introductory Article on the General Principles of Elocution, With a Thorough Method of Analysis, Intended to Develop the Pupil's Appreciation of the Thought and Emotion, a Critical Phonic Analysis of English Words, a".This is a reproduction of the original artefact. Generally these books are created from careful scans of the original. This allows us to preserve the book accurately and present it in the way the author intended. Since the original versions are generally quite old, there may occasionally be certain imperfections within these reproductions. We're happy to make these classics available again for future generations to enjoy!

1852 РУБ

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Nikolay Linde Emotion-Image Therapy. Analysis and Implementation


Emotion-Image therapy (EIT) is a new method of psychotherapy, which addresses any chronic negative emotional state of the individual. EIT allows to solve many psychological and psychosomatic problems (such as phobias, anxieties, allergies, asthma, and much more).This book provides a theoretical basis of EIT, practical approaches and cases, imaginative exercises, and a dictionary of images interpretations.

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Webb Andrew R. Statistical Pattern Recognition


Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: Provides a self-contained introduction to statistical pattern recognition. Includes new material presenting the analysis of complex networks. Introduces readers to methods for Bayesian density estimation. Presents descriptions of new applications in biometrics, security, finance and condition monitoring. Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications Describes mathematically the range of statistical pattern recognition techniques. Presents a variety of exercises including more extensive computer projects. The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. www.wiley.com/go/statistical_pattern_recognition

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Gary Kinzel L. Kinematics, Dynamics, and Design of Machinery


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Mike Cheung W.-L. Meta-Analysis. A Structural Equation Modeling Approach


Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included. This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.

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Fernando Diz Modern Security Analysis. Understanding Wall Street Fundamentals


A legendary value investor on security analysis for a modern era This book outlines Whitmans approach to business and security analysis that departs from most conventional security analysts. This approach has more in common with corporate finance than it does with the conventional approach. The key factors in appraising a company and its securities: 1) Credit worthiness, 2) Flows—both cash and earnings, 3) Long-term outlook, 4) Salable assets which can be disposed of without compromising the going concern, dynamics, 5) Resource conversions such as changes in control, mergers and acquisitions, going private, and major changes in assets or in liabilities, and 6) Access to capital. Offers the security analysis value approach Martin Whitman has used successfully since 1986 Details Whitmans unconventional approach to security analysis and offers information on the six key factors for appraising a company Contains the three most overemphasized factors used in conventional securities investing Written by Martin J. Whitman and Fernando Diz, Modern Security Analysis meets the challenge of todays marketplace by taking into account changes to regulation, market structures, instruments, and the speed and volume of trading.

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Gernot A. Fink Markov Models for Pattern Recognition. From Theory to Applications


Книга "Markov Models for Pattern Recognition. From Theory to Applications".

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Joshi Dipti, Zalte M. B. Recognition of Emotion from Speech


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Salah Khalfallah Structural Analysis 1. Statically Determinate Structures


Using a general approach, this book supports the student to enable mastery of the methods of analysis of isostatic and hyperstatic structures. To show the performance of the methods of analysis of the hyperstatic structures, selected beams, gantries and reticular structures are selected and subjected to a comparative study by the different methods of analysis of the hyperstatic structures.

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John Bredakis A unique approach to F series and integral


Essay from the year 2011 in the subject Mathematics - Analysis, , language: English, abstract: This essay is a unique approach to Fourier's series and integral with complete proofs for all the topics discussed.

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Irini Moustaki Latent Variable Models and Factor Analysis. A Unified Approach


Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family. Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency. Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples. Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No prior acquaintance with latent variable modelling is pre-supposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective. Applied statisticians, psychometricians, medical statisticians, biostatisticians, economists and social science researchers will benefit from this book.

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Thomas Au P. A Modern Approach to Graham and Dodd Investing


An updated approach to classic security analysis The principles of value investing outlined by Graham and Dodd in the 1940s continues to be used today by individuals and companies who face challenging investment decisions. A Modern Approach to Graham and Dodd Investing examines the classic Graham and Dodd approach to valuation and updates it for the twenty-first century. Thomas Au, a credentialed analyst with a leading insurance company and an ex-Value Line analyst, reworks the basics of value investing from net present value, financial statement analysis, and return on capital to return and leverage, asset allocation, and diversification. Through case studies and real-time analysis, A Modern Approach to Graham and Dodd Investing presents readers with examples that will make analysis and portfolio theory more relevant and powerful. Thomas P. Au (Hartford, CT) is a Vice President and Portfolio Manager for the investment arm of a large insurance and healthcare provider. His specialty is emerging and international markets. He received his BA, cum laude, with a double major in economics and history, from Yale University, and an MBA in finance from New York University.

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Rand Mohanned Alsheikly and Iden Hasan Alkanani Fuzzy Cluster Analysis With Application on Atherosclerosis Disease


Fuzzy cluster analysis is one of the advanced topics in statistics, which is a tool that assesses the relationships among samples of data set ( many attributes and many observations) by organizing the attributes into different clusters, each observations is belong to any cluster with probability between [0,1]. The fuzzy cluster analysis applied in many fields for example, medicine, cures of diseases or symptoms of diseases, psychiatry, data mining, image processes, pattern recognition, information retrieval.

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