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The issue discusses methods to extract 3-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The...

The current state-of-art in securing computers and data is tantamount to an arms race between the attackers on one hand and the software developers who have to provide the updates to counteract the...

A Complete Framework for Model-Free Difference-in-Differences Estimation proposes a complete framework for data-driven difference-in-differences analysis with covariates, in particular nonparametric...

Modular heap analysis techniques analyze a program by computing summaries for every procedure in the program that describes its effects on an input heap, using pre-computed summaries for the called...

A Framework for Interactive Sport Training TechnologyAuthor: Ian SmithPublisher: Now PublishersPublication Date: Jan 16, 2025Number of Pages: 124 pagesBinding: Paperback or SoftbackISBN-10:...

A Framework for Web Science sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions...

Discretization and reconstruction are fundamental operations in computer graphics, enabling the conversion between sampled and continuous representations. Major advances in signal processing research...

Spin glass models were introduced by physicists in the 1970s to model the statistical properties of certain magnetic materials. Over the last half century, these models have motivated a blossoming...

Hilbert space theory is an invaluable mathematical tool in numerous signal processing and systems theory applications. Hilbert spaces satisfying certain additional properties are known as Reproducing...

This monograph addresses the problem of geometric registration and the classical Iterative Closest Point (ICP) algorithm. Though commonly used in several research fields, the focus here is on mobile...

Financial Analysts' Forecasts and Stock Recommendations reviews research related to the role of financial analysts in the allocation of resources in capital markets. The authors provide an organized...

A Simple Method for Predicting Covariance Matrices of Financial Returns makes three contributions. First, it proposes a new method for predicting the time-varying covariance matrix of a vector of...

A Survey of Augmented Reality summarizes almost fifty years of research and development in the field of Augmented Reality (AR). From early research in the 1960's until widespread availability by the...

This monograph focuses on high-level decision-making problems in autonomous environmental monitoring robots. Decision-making at the high level involves strategic planning and coordination to optimize...

NP-completeness arguably forms the most pervasive concept from computer science as it captures the computational complexity of thousands of important problems from all branches of science and...

Reconstructing the shape of an object from images is an important problem in computer vision that has led to a variety of solution strategies. This monograph focuses on photometric stereo, that is,...

Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest...

This monograph reviews how visualization recommendation systems have been designed over the last 25 years.Author: Zehua Zeng, Leilani BattlePublisher: Now PublishersPublication Date: Sep 10,...

A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms for...

Accounting Disclosure and Real Effects presents a new approach to the study of accounting measurement and disclosure that challenges the existing accounting literature. This new approach - the "real...

Accounting for Income Taxes is the most comprehensive review of AFIT research. It is designed both to introduce new scholars to this field and to encourage active researchers to expand frontiers...

Accounting is an Evolved Economic Institution starts by defining "accounting history research" and posing six big picture questions about historical accounting evolution. The book summarizes...

Adaptation, Learning, and Optimization over Networks deals with the topic of information processing over graphs. The presentation is largely self-contained and covers results that relate to the...

Technology scaling has resulted in an increasing magnitude of and sensitivity to manufacturing process variations. This has led to the adoption of statistical design methodologies as opposed to...

The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of...

The proliferation of IoT devices on the internet is currently in the billions, and projections anticipate that there will be 50 billion connected IoT devices in the market by 2030. This rapid...

Aesthetic design is pervasive in the marketplace, where it influences consumer behavior, endows products with value, and differentiates between brands. In fact, research suggests that aesthetic...

Algebraic number theory is gaining an increasing impact in code design for many different coding applications, such as single antenna fading channels and more recently, MIMO systems. Extended work...

Property testing algorithms are ultra"-efficient algorithms that decide whether a given object (e.g., a graph) has a certain property (e.g., bipartiteness), or is significantly different from any...

Algorithmic Contract Theory: A SurveyAuthor: Paul D?ttingPublisher: Now PublishersPublication Date: Jan 13, 2025Number of Pages: 220 pagesBinding: Paperback or SoftbackISBN-10: 1638285128ISBN-13:...