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| Author | : Michèle Basseville |
| Publisher | : |
| Total Pages | : 568 |
| Release | : 1993 |
| Genre | : Mathematics |
| ISBN | : |
Presents mathematical tools and techniques for solving change detection problems in wide domains like signal processing, controlled systems and monitoring. The book covers a wide class of stochastic processes, including scalar independent observations and multidimensional dependent ARMA.
| Author | : H. Vincent Poor |
| Publisher | : Cambridge University Press |
| Total Pages | : 244 |
| Release | : 2008-11-20 |
| Genre | : Technology & Engineering |
| ISBN | : 9780521621045 |
The problem of detecting abrupt changes in the behavior of an observed signal or time series arises in a variety of fields, including climate modeling, finance, image analysis, and security. Quickest detection refers to real-time detection of such changes as quickly as possible after they occur. Using the framework of optimal stopping theory, this book describes the fundamentals underpinning the field, providing the background necessary to design, analyze, and understand quickest detection algorithms. For the first time the authors bring together results which were previously scattered across disparate disciplines, and provide a unified treatment of several different approaches to the quickest detection problem. This book is essential reading for anyone who wants to understand the basic statistical procedures for change detection from a fundamental viewpoint, and for those interested in theoretical questions of change detection. It is ideal for graduate students and researchers of engineering, statistics, economics, and finance.
| Author | : Alexander Tartakovsky |
| Publisher | : CRC Press |
| Total Pages | : 600 |
| Release | : 2014-08-27 |
| Genre | : Mathematics |
| ISBN | : 1439838216 |
Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent accomplishments in hypothesis testing and changepoint detecti
| Author | : Leszek Rutkowski |
| Publisher | : Springer Nature |
| Total Pages | : 547 |
| Release | : 2020-10-20 |
| Genre | : Computers |
| ISBN | : 3030615340 |
The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions. The papers included in the first volume are organized in the following six parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; bioinformatics, biometrics and medical applications; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following four parts: computer vision, image and speech analysis; data mining; various problems of artificial intelligence; agent systems, robotics and control. *The conference was held virtually due to the COVID-19 pandemic.
| Author | : Chaomei Chen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 327 |
| Release | : 2006-10-23 |
| Genre | : Computers |
| ISBN | : 1846285798 |
Information visualization is not only about creating graphical displays of complex and latent information structures. It also contributes to a broader range of cognitive, social, and collaborative activities. This is the first book to examine information visualization from this perspective. This 2nd edition continues the unique and ambitious quest for setting information visualization and virtual environments in a unifying framework. It pays special attention to the advances made over the last 5 years and potentially fruitful directions to pursue. It is particularly updated to meet the need for practitioners. The book is a valuable source for researchers and graduate students.
| Author | : Alexander Tartakovsky |
| Publisher | : CRC Press |
| Total Pages | : 321 |
| Release | : 2019-12-11 |
| Genre | : Mathematics |
| ISBN | : 1498757596 |
Statistical methods for sequential hypothesis testing and changepoint detection have applications across many fields, including quality control, biomedical engineering, communication networks, econometrics, image processing, security, etc. This book presents an overview of methodology in these related areas, providing a synthesis of research from the last few decades. The methods are illustrated through real data examples, and software is referenced where possible. The emphasis is on providing all the theoretical details in a unified framework, with pointers to new research directions.
| Author | : Michele Basseville |
| Publisher | : Springer |
| Total Pages | : 375 |
| Release | : 2014-03-12 |
| Genre | : Technology & Engineering |
| ISBN | : 9783662207512 |
Papers from a Conference Held in Paris, March 21-22, 1984
| Author | : Gilles Teyssière |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 394 |
| Release | : 2006-09-22 |
| Genre | : Business & Economics |
| ISBN | : 3540346252 |
Assembles three different strands of long memory analysis: statistical literature on the properties of, and tests for, LRD processes; mathematical literature on the stochastic processes involved; and models from economic theory providing plausible micro foundations for the occurrence of long memory in economics.
| Author | : Masashi Sugiyama |
| Publisher | : Cambridge University Press |
| Total Pages | : 343 |
| Release | : 2012-02-20 |
| Genre | : Computers |
| ISBN | : 0521190177 |
This book introduces theories, methods and applications of density ratio estimation, a newly emerging paradigm in the machine learning community.
| Author | : Neha Sharma |
| Publisher | : Springer Nature |
| Total Pages | : 494 |
| Release | : 2019-09-24 |
| Genre | : Technology & Engineering |
| ISBN | : 9811393648 |
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
