This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    This resource guides readers through conducting a high-tech investigation, from acquiring digital evidence to reporting its findings. Updated coverage includes new software and technologies as well as up-to-date reference sections, and content includes how to set up a forensics lab, how to acquire the proper and necessary tools, and how to conduct the investigation and subsequent digital analysis. It is appropriate for students new to the field, or as a refresher and technology update for professionals in law enforcement, investigations, or computer security. The book features free downloads of the latest forensic software, so readers can become familiar with the tools of the trade.

    Highlights of the book include realistic problems and examples from a wide range of application areas. New to this edition are: much sharper pedagogy; an increase in the number of examples; more thorough development of the concepts; a greater range of homework problems; a greater number and variety of worked out examples; expanded coverage of dynamics modelling and Laplace transform topics; and integration of MATLAB, including many examples that are formatted in MATLAB.

    With cases studies found throughout, you will easily learn to apply principles to real life.

    The approach, which focuses on intersecting inequalities, illustrates how racism, social class, ageism and heterosexism can compound the consequences of gender inequality. Although it focuses primarily on women and men in the United States, international issues and data are incorporated throughout.

    Students need to know how writers’ and speakers’ choices are shaped by elements of the rhetorical situation, including audience, occasion, and purpose. In Teaching Arguments: Rhetorical Comprehension, Critique, and Response , Jennifer Fletcher provides teachers with engaging classroom activities, writing prompts, graphic organizers, and student samples to help students at all levels read, write, listen, speak, and think rhetorically. Fletcher believes that, with appropriate scaffolding and encouragement, all students can learn a rhetorical approach to argument and gain access to rigorous academic content. Teaching Arguments opens the door and helps them pay closer attention to the acts of meaning around them, to notice persuasive strategies that might not be apparent at first glance. When we analyze and develop arguments, we have to consider more than just the printed words on the page. We have to evaluate multiple perspectives; the tension between belief and doubt; the interplay of reason, character, and emotion; the dynamics of occasion, audience, and purpose; and how our own identities shape what we read and write. Rhetoric teaches us how to do these things. Teaching Arguments will help students learn to move beyond a superficial response to texts so they can analyze and craft sophisticated, persuasive arguments—a major cornerstone for being not just college-and career-ready but ready for the challenges of the world.

    Stake uses and annotates an actual case study to answer such questions as: How is the case selected? How do you select the case which will maximize what can be learned? How can what is learned from one case be applied to another? How can what is learned from a case be interpreted? In addition, the book covers: the differences between quantitative and qualitative approaches; data-gathering including document review; coding, sorting and pattern analysis; the roles of the researcher; triangulation; and reporting.

    This second edition is appropriate as a supplementary (companion) text for any college-level course covering digital signal processing.

    GRAPH THEORY WITH APPLICATIONS TO ENGINEERING AND COMPUTER SCIENCE-PHI-DEO, NARSINGH-1979-EDN-1

    This book contains student-friendly Study Tips, Clinical View boxes, and progressive question sets to motivate students to internalize and apply what they've learned.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    . . Nothing less than a major contribution to the scientific culture of this world." — The New York Times Book ReviewThis major survey of mathematics, featuring the work of 18 outstanding Russian mathematicians and including material on both elementary and advanced levels, encompasses 20 prime subject areas in mathematics in terms of their simple origins and their subsequent sophisticated developement. As Professor Morris Kline of New York University noted, "This unique work presents the amazing panorama of mathematics proper. It is the best answer in print to what mathematics contains both on the elementary and advanced levels."Beginning with an overview and analysis of mathematics, the first of three major divisions of the book progresses to an exploration of analytic geometry, algebra, and ordinary differential equations. The second part introduces partial differential equations, along with theories of curves and surfaces, the calculus of variations, and functions of a complex variable. It furthur examines prime numbers, the theory of probability, approximations, and the role of computers in mathematics. The theory of functions of a real variable opens the final section, followed by discussions of linear algebra and nonEuclidian geometry, topology, functional analysis, and groups and other algebraic systems.Thorough, coherent explanations of each topic are further augumented by numerous illustrative figures, and every chapter concludes with a suggested reading list. Formerly issued as a three-volume set, this mathematical masterpiece is now available in a convenient and modestly priced one-volume edition, perfect for study or reference."This is a masterful English translation of a stupendous and formidable mathematical masterpiece . . ." — Social Science

    The groups selected are peoples whose traditional cultures are uniquely their own. Each has distinctive patterns and practices; each has faced the challenge of an encroaching world, with differing results. Moreover, they often provide the prime illustrations of important concepts in introductory anthropology course including Azande witchcraft, Ju/'hoansi egalitarianism, Trobriand kula exchange, and Minangkabau matriliny. As such, this volume can stand alone as an introduction to central ethnographic concepts through these 15 societies, or serve as a valuable companion to anthropology texts. Many of the peoples presented are involved in the diaspora; some struggle to preserve old ways in new places. All sketches follow a logical, consistent organization that makes it easy for students to understand major themes such as history, subsistence, sociopolitical organization, belief systems, marriage, kinship, and contemporary issues.

    The text hold students' interest by covering health topics of primary concern to them.