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Statistical Image Processing and Multidimensional Modeling

Statistical Image Processing and Multidimensional Modeling Author Paul Fieguth
ISBN-10 1441972943
Release 2010-10-17
Pages 454
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Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something—an artery, a road, a DNA marker, an oil spill—from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.



An Introduction to Complex Systems

An Introduction to Complex Systems Author Paul Fieguth
ISBN-10 9783319446066
Release 2016-12-29
Pages 346
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This undergraduate text explores a variety of large-scale phenomena - global warming, ice ages, water, poverty - and uses these case studies as a motivation to explore nonlinear dynamics, power-law statistics, and complex systems. Although the detailed mathematical descriptions of these topics can be challenging, the consequences of a system being nonlinear, power-law, or complex are in fact quite accessible. This book blends a tutorial approach to the mathematical aspects of complex systems together with a complementary narrative on the global/ecological/societal implications of such systems. Nearly all engineering undergraduate courses focus on mathematics and systems which are small scale, linear, and Gaussian. Unfortunately there is not a single large-scale ecological or social phenomenon that is scalar, linear, and Gaussian. This book offers students insights to better understand the large-scale problems facing the world and to realize that these cannot be solved by a single, narrow academic field or perspective. Instead, the book seeks to emphasize understanding, concepts, and ideas, in a way that is mathematically rigorous, so that the concepts do not feel vague, but not so technical that the mathematics get in the way. The book is intended for undergraduate students in a technical domain such as engineering, computer science, physics, mathematics, and environmental studies.



Resource Management Information Systems

Resource Management Information Systems Author Keith R. McCloy
ISBN-10 0748401202
Release 1995-05-01
Pages 542
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Addresses the needs of land resource managers - agriculture, forestry, water, botany, minerals - by identifying appropriate information technologies remotely sensed data, digitised and retrieve/manipulated via GIS and outlining potential applications.; The book integrates theory and practice, offering both examples of application but also working through the process of identifying user needs, designing a system to meet those needs, and then implementing that system.



Mathematical Nonlinear Image Processing

Mathematical Nonlinear Image Processing Author Edward R. Dougherty
ISBN-10 9781461531487
Release 2012-12-06
Pages 176
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Mathematical Nonlinear Image Processing deals with a fast growing research area. The development of the subject springs from two factors: (1) the great expansion of nonlinear methods applied to problems in imaging and vision, and (2) the degree to which nonlinear approaches are both using and fostering new developments in diverse areas of mathematics. Mathematical Nonlinear Image Processing will be of interest to people working in the areas of applied mathematics as well as researchers in computer vision. Mathematical Nonlinear Image Processing is an edited volume of original research. It has also been published as a special issue of the Journal of Mathematical Imaging and Vision. (Volume 2, Issue 2/3).



Geographic Information Systems Concepts Methodologies Tools and Applications

Geographic Information Systems  Concepts  Methodologies  Tools  and Applications Author Management Association, Information Resources
ISBN-10 9781466620391
Release 2012-09-30
Pages 2102
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Developments in technologies have evolved in a much wider use of technology throughout science, government, and business; resulting in the expansion of geographic information systems. GIS is the academic study and practice of presenting geographical data through a system designed to capture, store, analyze, and manage geographic information. Geographic Information Systems: Concepts, Methodologies, Tools, and Applications is a collection of knowledge on the latest advancements and research of geographic information systems. This book aims to be useful for academics and practitioners involved in geographical data.



Statistical image processing and graphics

Statistical image processing and graphics Author Edward J. Wegman
ISBN-10 UOM:39015011174516
Release 1986
Pages 351
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Statistical image processing; application of the gibbs distribution to image segmentation; A model for orginal filtering of digital images; Spatial domain filtering of digital images; Spatial domain filters forimage processing; Edge detection by partitioning; A syntactic approach for SAR image nalysis; Parametric techniques for SAR image compression; Data compression of a first order intermittently excited AR process; A modular software for image information systems; A space-efficient hough transform implementation for object detection; New computing methods in image processing displays; Statistical graphics; Visualizing two-dimensional phenomena in four-dimensional space: A computer grahphics approach; The man-machine-graphics interface for statistical data analysis; Interactive color display methods for multivariate data; Interactive computer graphics in statistics; Illustrations of model diagnosis by means of three-dimensional biplots; Multivariate thin plate spline smoothing with positivity and other linear; Data analysis in three and four dimensions with nonparametric; Dimensionality reduction in density estimation; Volumetric 3-D displays and spatial perception; Index.



Innovations in Classification Data Science and Information Systems

Innovations in Classification  Data Science  and Information Systems Author Daniel Baier
ISBN-10 9783540269816
Release 2006-03-30
Pages 616
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The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.



Analysis of Variance in Statistical Image Processing

Analysis of Variance in Statistical Image Processing Author Ludwik Kurz
ISBN-10 0521031966
Release 2006-11-23
Pages 228
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A key problem in practical image processing is that of detecting certain features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and techniques are then presented, to deal with such problems as line, edge and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition.



Probabilistic Graphical Models for Genetics Genomics and Postgenomics

Probabilistic Graphical Models for Genetics  Genomics  and Postgenomics Author Raphaël Mourad
ISBN-10 9780191019203
Release 2014-09-18
Pages 464
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Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-called 'omics' data if represented by flexible and scalable models, prior to any further analysis. At the interface between statistics and machine learning, probabilistic graphical models (PGMs) represent a powerful formalism to discover complex networks of relations. These models are also amenable to incorporating a priori biological information. Network reconstruction from gene expression data represents perhaps the most emblematic area of research where PGMs have been successfully applied. However these models have also created renewed interest in genetics in the broad sense, in particular regarding association genetics, causality discovery, prediction of outcomes, detection of copy number variations, and epigenetics. This book provides an overview of the applications of PGMs to genetics, genomics and postgenomics to meet this increased interest. A salient feature of bioinformatics, interdisciplinarity, reaches its limit when an intricate cooperation between domain specialists is requested. Currently, few people are specialists in the design of advanced methods using probabilistic graphical models for postgenomics or genetics. This book deciphers such models so that their perceived difficulty no longer hinders their use and focuses on fifteen illustrations showing the mechanisms behind the models. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics covers six main themes: (1) Gene network inference (2) Causality discovery (3) Association genetics (4) Epigenetics (5) Detection of copy number variations (6) Prediction of outcomes from high-dimensional genomic data. Written by leading international experts, this is a collection of the most advanced work at the crossroads of probabilistic graphical models and genetics, genomics, and postgenomics. The self-contained chapters provide an enlightened account of the pros and cons of applying these powerful techniques.



The Nature of Statistical Learning Theory

The Nature of Statistical Learning Theory Author Vladimir Vapnik
ISBN-10 0387987800
Release 1999-11-19
Pages 314
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The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.



Proceedings of the Conference on Information Sciences and Systems

Proceedings of the Conference on Information Sciences and Systems Author
ISBN-10 UOM:39015047416162
Release 1996
Pages
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Proceedings of the Conference on Information Sciences and Systems has been writing in one form or another for most of life. You can find so many inspiration from Proceedings of the Conference on Information Sciences and Systems also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Proceedings of the Conference on Information Sciences and Systems book for free.



Statistical Signal Processing

Statistical Signal Processing Author Debasis Kundu
ISBN-10 9788132206286
Release 2012-05-24
Pages 132
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Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal. Statistics is also used in the formulation of the appropriate models to describe the behavior of the system, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Statistical signal processing basically refers to the analysis of random signals using appropriate statistical techniques. The main aim of this book is to introduce different signal processing models which have been used in analyzing periodic data, and different statistical and computational issues involved in solving them. We discuss in detail the sinusoidal frequency model which has been used extensively in analyzing periodic data occuring in various fields. We have tried to introduce different associated models and higher dimensional statistical signal processing models which have been further discussed in the literature. Different real data sets have been analyzed to illustrate how different models can be used in practice. Several open problems have been indicated for future research.



Classification and Knowledge Organization

Classification and Knowledge Organization Author Gesellschaft für Klassifikation. Jahrestagung
ISBN-10 3540629815
Release 1997-06-19
Pages 684
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This volume presents 71 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and text analysis as well as manifold applications. Eight sections have been arranged: Data Analysis and Classification. Neural Networks and Pattern Recognition. Statistical Models and Methods. Information Systems: Design and Implementation. Text Analysis and Information Retrieval. Applications in Medicine. Applications in Economics and Social Sciences. Applications in Archaeology, Biology, Linguistics and Dialectometry. The grouping shows how theoretical aspects, applications and interdisciplinarities are interrelated in many respects.



Knowledge Based Intelligent Information and Engineering Systems 2

Knowledge Based Intelligent Information and Engineering Systems 2 Author Mircea Gh. Negoita
ISBN-10 9783540232063
Release 2004-09-20
Pages 1302
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The three-volume set LNAI 3213, LNAI 3214, and LNAI 3215 constitutes the refereed proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, held in Wellington, New Zealand in September 2004.The over 450 papers presented were carefully reviewed and selected from numerous submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; among the areas covered are artificial intelligence, computational intelligence, cognitive technologies, soft computing, data mining, knowledge processing, various new paradigms in biologically inspired computing, and applications in various domains like bioinformatics, finance, signal processing etc.



Advanced Statistical Methods in Data Science

Advanced Statistical Methods in Data Science Author Ding-Geng Chen
ISBN-10 9789811025945
Release 2016-11-30
Pages 222
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This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invited the presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.



Selected Opportunities for Mathematical Sciences Research Related to the Navy Mission an Upadate

Selected Opportunities for Mathematical Sciences Research Related to the Navy Mission   an Upadate Author National Research Council (U.S.). Panel on Applied Mathematics Research Alternatives for the Navy
ISBN-10 NAP:18039
Release 1990
Pages 34
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Selected Opportunities for Mathematical Sciences Research Related to the Navy Mission an Upadate has been writing in one form or another for most of life. You can find so many inspiration from Selected Opportunities for Mathematical Sciences Research Related to the Navy Mission an Upadate also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Selected Opportunities for Mathematical Sciences Research Related to the Navy Mission an Upadate book for free.



Statistics and images

Statistics and images Author Gopal K. Kanji
ISBN-10 0902879251
Release 1993
Pages 324
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Statistics and images has been writing in one form or another for most of life. You can find so many inspiration from Statistics and images also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Statistics and images book for free.