An Introduction to Frames is an introduction to redundant signal representations called frames. These representations have recently emerged as yet another powerful tool in the signal processing toolbox, spurred by a host of recent applications requiring some level of redundancy. It asks the question: Why and where should one use frames? And answers emphatically: Anywhere where redundancy is a must. It then goes on to discuss a host of applications that richly illustrate that answer.  An Introduction to Frames is geared primarily toward engineering students and those without extensive mathematical training. It is also intended to help researchers and practitioners decide whether frames are the right tool for their application.

Introduction to Frames (Foundations and Trends(r) in Signal Processing)

Computers & Technology

Kovacevic, Jelena

Chebira, Amina

Graphics & Design

Now Publishers

The Law and Economics of Public Health synthesizes the empirical research findings on the relationship between law and the public's health that are found scattered in different literature ranging from economic journals to medical journals, journals on addictive behaviors, law reviews, and books. This is the only study to date that has assembled the empirical evidence from many areas ranging from motor vehicle liability and dram shop liability to medical malpractice, products liability as it applies to pharmaceutical products, and medical devices. The Law and Economics of Public Health addresses the fundamental question as to whether or not and the extent to which imposing tort liability on potential injurers improves the public's health. Does the threat of litigation on potential injurers make them exercise more caution? Does insurance coverage counter incentives to be careful? Does the tort system operate as perfectly as the theory would have it? This monograph answers these questions on the basis of empirical evidence. The Law and Economics of Public Health discusses both theory and empirical evidence in several areas of personal injury to which tort liability has been applied. The monograph starts by describing the general law and economics framework used to assess both positive and normative issues relating to tort liability. It then presents the rationale for and empirical evidence on particular applications of tort liability as it applies to personal injury.

The Law and Economics of Public Health (Foundations and Trends(r) in Microeconomics)

Business & Money

Sloan, Frank A.

Chepke, Research Associate Lindsey M

Economics

Database Management Systems (DBMSs) are a ubiquitous and critical component of modern computing, and the result of decades of research and development in both academia and industry. Architecture of a Database System presents an architectural discussion of DBMS design principles, including process models, parallel architecture, storage system design, transaction system implementation, query processor and optimizer architectures, and typical shared components and utilities. Successful commercial and open-source systems are used as points of reference, particularly when multiple alternative designs have been adopted by different groups. Historically, DBMSs were among the earliest multi-user server systems to be developed, and thus pioneered many systems design techniques for scalability and reliability now in use in many other contexts. While many of the algorithms and abstractions used by a DBMS are textbook material, Architecture of a Database System addresses the systems design issues that make a DBMS work. Architecture of a Database System is an invaluable reference for database researchers and practitioners and for those in other areas of computing interested in the systems design techniques for scalability and reliability that originated in DBMS research and development.

Architecture of a Database System (Foundations and Trends(r) in Databases)

HAMILTON, James

Hellerstein, Joseph M.

Stonebraker, Michael

Software

Topics in Multi-User Information Theory presents a review of eleven of the fundamental issues in multi-user information theory. Each chapter is devoted to one particular issue and follows the same structure. Each chapter starts with a problem description and then describes solutions to the problem for general and specific cases. The book uses a tutorial style and the text motivates the reader to study the subject matter further for himself or herself. The organization builds up knowledge from chapter to chapter rather than collecting all closely-related facts in one place. The selection of topics includes: Typical Sequences and Source Coding; Rate-Distortion and Multiple Descriptions; Capacity-Cost; The Slepian-Wolf Problem; The Wyner-Ziv Problem; The Gelfand-Pinsker Problem; The Broadcast Channel; The Multiaccess Channel ; The Relay Channel; The Multiple Relay Channel; and The Multiaccess Channel with Generalized Feedback Topics in Multi-User Information Theory provides the reader with a concise overview of the most important topics of source and channel coding. It is an invaluable resource for students and researchers working in information theory and communications.

Topics in Multi-User Information Theory (Foundations and Trends(r) in Communications and Information)

Kramer, Gerhard

Computer Science

Various types of probabilistic proof systems have played a central role in the development of computer science in the last couple of decades. These proof systems deviate from the traditional concept of a proof by introducing randomization and interaction into the verification process. Probabilistic proof systems carry an error probability (which is explicitly bounded and can be decreased by repetitions), but they offer various advantages over deterministic proof systems. This primer concentrates on three types of probabilistic proof systems: interactive proofs, zero-knowledge proofs, and probabilistically checkable proofs (PCP). Surveying the basic results regarding these proof systems, the primer stresses the essential role of randomness in each of them.

Probabilistic Proof Systems: A Primer (Foundations and Trends(r) in Theoretical Computer Science)

Goldreich, Oded

In the last decade there has been a rapid growth in commercial applications of eye-tracking technology to assess the effectiveness of visual marketing efforts. Eye-movements are tightly coupled with visual attention which makes them eminent indicators of the covert visual attention process. Now a sizable and growing body of literature exists on attention to visual marketing stimuli. Eye-Tracking for Visual Marketing provides: 1. the foundations of visual attention and eye-tracking 2. a conceptual framework for eye-tracking research in marketing 3. a review of the marketing literature within this conceptual framework. Motivated from its rising importance in marketing practice and its potential for theoretical contribution, Eye-Tracking for Visual Marketing examines the structure of the eye, the visual brain, eye-movements, and methods for recording and analyzing them. Next, it describes the authors' theory and reviews eye-tracking applications in marketing based on this theory. It conclude with an outlook on future theory and method development and recommendations for practice.

Eye Tracking for Visual Marketing (Foundations and Trends(r) in Marketing)

Pieters, Rik

Wedel, Michel

Marketing & Sales

Customer Lifetime Value - The Path to Profitability reviews the CLV metric in particular. Approaches to computing CLV and the concept of customer equity are discussed in detail. Specifically, this monograph provides the methods of measuring CLV, the strategies for developing customer-centric strategies, the implementation of CLV strategies in a B2B and B2C setting, and the challenges faced by an organization in implementing a CLV-based framework. The author details the importance of CLV as a metric in a marketer's toolkit and how it is relevant to managing customers. Customer Lifetime Value - The Path to Profitability answers the following questions: · What is the value of a customer? · Can customers be evaluated based only on their past contribution to the firm? · Which metric is better in identifying the future worth of the customer? These are the questions a firm has to deal with before assessing the value of its customers. The author shows that the value of a customer is the value the customer brings to the firm over their lifetime. Therefore, we need a metric that can objectively measure future profitability of the customer to the firm. Customer lifetime value (CLV) helps managers make informed business decisions.

Customer Lifetime Value: The Path to Profitability (Foundations and Trends(r) in Marketing)

Kumar, Dr V

Competencies and Institutions Fostering High-Growth Firms examines high-growth firms, also known as "Gazelles", which have become critical to net job creation and economic growth. It analyzes how the institutional framework - the "rules of the game" -- affects such firms, taking the theory of competence blocs as a point of departure. The three institutional categories that are key areas for the promotion of high growth firms include the tax system, the organization of labor markets and product market regulations. The authors characterize institutions as either fostering dynamic capitalism, by providing a favorable environment for the emergence of competence blocs and the generation of high growth firms or leading to "sclerotic capitalism" by failing to produce such an environment. By analyzing high growth firms through the lens of the theory of competence blocs, Competencies and Institutions Fostering High-Growth Firms offers a more holistic view of economic growth. Rapid firm growth is a complex process requiring a number of complementary competencies. This analysis suggests that the commercialization of innovations and generation of high growth firms would be greatly facilitated if more product markets are contestable and tax structures and labor market institutions are adjusted to stimulate the emergence of more effective competence blocs.

Competencies and Institutions Fostering High-Growth Firms (Foundations and Trends(r) in Entrepreneurship)

Henrekson, Magnus

Johansson, Dan

Business Development & Entrepreneurship

The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate statistical models. Graphical models have become a focus of research in many statistical, computational and mathematical fields, including bioinformatics, communication theory, statistical physics, combinatorial optimization, signal and image processing, information retrieval and statistical machine learning. Many problems that arise in specific instances-including the key problems of computing marginals and modes of probability distributions-are best studied in the general setting. Working with exponential family representations, and exploiting the conjugate duality between the cumulant function and the entropy for exponential families, Graphical Models, Exponential Families and Variational Inference develops general variational representations of the problems of computing likelihoods, marginal probabilities and most probable configurations. It describes how a wide variety of algorithms- among them sum-product, cluster variational methods, expectation-propagation, mean field methods, and max-product-can all be understood in terms of exact or approximate forms of these variational representations. The variational approach provides a complementary alternative to Markov chain Monte Carlo as a general source of approximation methods for inference in large-scale statistical models.

Graphical Models, Exponential Families, and Variational Inference (Foundations and Trends(r) in Machine Learning)

Wainwright, Martin J.

Jordan, Michael I

Statistical Language Models for Information Retrieval systematically and critically reviews the existing work in applying statistical language models to information retrieval, summarizes their contributions, and points out outstanding challenges. Statistical language models have recently been successfully applied to many information retrieval problems. A great deal of recent work has shown that statistical language models not only lead to superior empirical performance, but also facilitate parameter tuning and open up possibilities for modeling non-traditional retrieval problems. In general, statistical language models provide a principled way of modeling various kinds of retrieval problems. Statistical Language Models for Information Retrieval reviews the development of this language modeling approach. It surveys a wide range of retrieval models based on language modeling and attempts to make connections between this new family of models and traditional retrieval models. It summarizes the progress made so far in these models and point out remaining challenges to be solved to further increase their impact. Statistical Language Models for Information Retrieval is written for readers who already have some basic knowledge about information retrieval. Some knowledge of probability and statistics such as the maximum likelihood estimator is helpful, but not a prerequisite to understanding the high-level discussion.

Statistical Language Models for Information Retrieval: A Critical Review (Foundations and Trends(r) in Information Retrieval)

Zhai, ChengXiang

See the best price to sell, buy or rent books by the Now Publishers publisher. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Now Publishers