The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter by : Charlotte Hermann

Download or read book The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter written by Charlotte Hermann and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Product Multi-Sensor Labeled Multi-Bernoulli Filter

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis The Product Multi-Sensor Labeled Multi-Bernoulli Filter by : Martin Herrmann

Download or read book The Product Multi-Sensor Labeled Multi-Bernoulli Filter written by Martin Herrmann and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and Its Implementation

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (135 download)

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Book Synopsis Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and Its Implementation by : Martin Herrmann

Download or read book Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and Its Implementation written by Martin Herrmann and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Labeled Multi-Bernoulli Filter

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Publisher : Cambridge Scholars Publishing
ISBN 13 : 1036411834
Total Pages : 177 pages
Book Rating : 4.0/5 (364 download)

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Book Synopsis The Labeled Multi-Bernoulli Filter by : Reza Hoseinnezhad

Download or read book The Labeled Multi-Bernoulli Filter written by Reza Hoseinnezhad and published by Cambridge Scholars Publishing. This book was released on 2024-09-06 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive exploration of labeled multi-Bernoulli filters, focusing primarily on dynamic multi-object tracking from point detections such as those given by radars. It includes essential theory and practical code examples to help even beginners develop their own tracking systems. The techniques presented can be easily adapted for a wide range of applications with minimal effort. It is ideal for professionals in robotics, automotive engineering, public safety, and network management, who require dependable multi-object tracking technologies. Although it does not discuss other applications directly, the flexible nature of the solutions allows them to be tailored to meet the unique challenges and requirements of various fields, such as autonomous vehicles, surveillance systems, mobile network management, and more specialized areas like maritime surveillance and air traffic control.

Random Finite Sets for Robot Mapping & SLAM

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Publisher : Springer Science & Business Media
ISBN 13 : 3642213898
Total Pages : 161 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Random Finite Sets for Robot Mapping & SLAM by : John Stephen Mullane

Download or read book Random Finite Sets for Robot Mapping & SLAM written by John Stephen Mullane and published by Springer Science & Business Media. This book was released on 2011-05-19 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The monograph written by John Mullane, Ba-Ngu Vo, Martin Adams and Ba-Tuong Vo is devoted to the field of autonomous robot systems, which have been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the problem of representing the environment and its uncertainty in terms of feature based maps. Random Finite Sets are adopted as the fundamental tool to represent a map, and a general framework is proposed for feature management, data association and state estimation. The approaches are tested in a number of experiments on both ground based and marine based facilities.

Advances in Statistical Multisource-Multitarget Information Fusion

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Publisher : Artech House
ISBN 13 : 1608077985
Total Pages : 1167 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis Advances in Statistical Multisource-Multitarget Information Fusion by : Ronald P.S. Mahler

Download or read book Advances in Statistical Multisource-Multitarget Information Fusion written by Ronald P.S. Mahler and published by Artech House. This book was released on 2014-08-01 with total page 1167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the sequel to the 2007 Artech House bestselling title, Statistical Multisource-Multitarget Information Fusion. That earlier book was a comprehensive resource for an in-depth understanding of finite-set statistics (FISST), a unified, systematic, and Bayesian approach to information fusion. The cardinalized probability hypothesis density (CPHD) filter, which was first systematically described in the earlier book, has since become a standard multitarget detection and tracking technique, especially in research and development. Since 2007, FISST has inspired a considerable amount of research, conducted in more than a dozen nations, and reported in nearly a thousand publications. This sequel addresses the most intriguing practical and theoretical advances in FISST, for the first time aggregating and systematizing them into a coherent, integrated, and deep-dive picture. Special emphasis is given to computationally fast exact closed-form implementation approaches. The book also includes the first complete and systematic description of RFS-based sensor/platform management and situation assessment.

Statistical Multisource-multitarget Information Fusion

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Publisher : Artech House Publishers
ISBN 13 :
Total Pages : 892 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistical Multisource-multitarget Information Fusion by : Ronald P. S. Mahler

Download or read book Statistical Multisource-multitarget Information Fusion written by Ronald P. S. Mahler and published by Artech House Publishers. This book was released on 2007 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive resource provides you with an in-depth understanding of finite-set statistics (FISST) ndash; a recently developed method which unifies much of information fusion under a single probabilistic, in fact Bayesian, paradigm. The book helps you master FISST concepts, techniques, and algorithms, so you can use FISST to address real-world challenges in the field. You learn how to model, fuse, and process highly disparate information sources, and detect and track non-cooperative individual/platform groups and conventional non-cooperative targets.

Intelligent Computational Systems: A Multi-Disciplinary Perspective

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Publisher : Bentham Science Publishers
ISBN 13 : 168108502X
Total Pages : 428 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis Intelligent Computational Systems: A Multi-Disciplinary Perspective by : Faria Nassiri-Mofakham

Download or read book Intelligent Computational Systems: A Multi-Disciplinary Perspective written by Faria Nassiri-Mofakham and published by Bentham Science Publishers. This book was released on 2017-08-07 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Computational Systems presents current and future developments in intelligent computational systems in a multi-disciplinary context. Readers will learn about the pervasive and ubiquitous roles of artificial intelligence (AI) and gain a perspective about the need for intelligent systems to behave rationally when interacting with humans in complex and realistic domains. This reference covers widespread applications of AI discussed in 11 chapters which cover topics such as AI and behavioral simulations, AI schools, automated negotiation, language analysis and learning, financial prediction, sensor management, Multi-agent systems, and much more. This reference work is will assist researchers, advanced-level students and practitioners in information technology and computer science fields interested in the broad applications of AI.

Introduction to Probability

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Publisher : CRC Press
ISBN 13 : 1466575573
Total Pages : 599 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Introduction to Probability by : Joseph K. Blitzstein

Download or read book Introduction to Probability written by Joseph K. Blitzstein and published by CRC Press. This book was released on 2014-07-24 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

Women in Signal Processing

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Publisher : Frontiers Media SA
ISBN 13 : 2832500501
Total Pages : 156 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Women in Signal Processing by : Hagit Messer

Download or read book Women in Signal Processing written by Hagit Messer and published by Frontiers Media SA. This book was released on 2022-12-12 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: At present, less than 30% of researchers worldwide are women. As an estimate, this number is even lower in the field of Signal Processing, with some sources indicating it could be around 10%. Long-standing biases and gender stereotypes are discouraging girls and women away from science related fields, and STEM research in particular. Science and gender equality are, however, essential to ensure sustainable development as highlighted by UNESCO. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers. Frontiers in Signal Processing is proud to offer this platform to promote the work of women researchers and engineers, across all areas of Signal Processing. The work presented here highlights the diversity of research performed across the entire breadth of the Signal Processing landscape, and presents advances in theory, experiment and methodology with applications to compelling problems. This article collection is open for submissions across all sections of the journal, and new articles will be added as they are published. Please note: to be considered for this collection, the corresponding author should be a female researcher.

2020 IEEE 23rd International Conference on Information Fusion (FUSION)

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Publisher :
ISBN 13 : 9781728168302
Total Pages : pages
Book Rating : 4.1/5 (683 download)

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Book Synopsis 2020 IEEE 23rd International Conference on Information Fusion (FUSION) by : IEEE Staff

Download or read book 2020 IEEE 23rd International Conference on Information Fusion (FUSION) written by IEEE Staff and published by . This book was released on 2020-07-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances

Beyond the Kalman Filter: Particle Filters for Tracking Applications

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Publisher : Artech House
ISBN 13 : 9781580538510
Total Pages : 328 pages
Book Rating : 4.5/5 (385 download)

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Book Synopsis Beyond the Kalman Filter: Particle Filters for Tracking Applications by : Branko Ristic

Download or read book Beyond the Kalman Filter: Particle Filters for Tracking Applications written by Branko Ristic and published by Artech House. This book was released on 2003-12-01 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: For most tracking applications the Kalman filter is reliable and efficient, but it is limited to a relatively restricted class of linear Gaussian problems. To solve problems beyond this restricted class, particle filters are proving to be dependable methods for stochastic dynamic estimation. Packed with 867 equations, this cutting-edge book introduces the latest advances in particle filter theory, discusses their relevance to defense surveillance systems, and examines defense-related applications of particle filters to nonlinear and non-Gaussian problems. With this hands-on guide, you can develop more accurate and reliable nonlinear filter designs and more precisely predict the performance of these designs. You can also apply particle filters to tracking a ballistic object, detection and tracking of stealthy targets, tracking through the blind Doppler zone, bi-static radar tracking, passive ranging (bearings-only tracking) of maneuvering targets, range-only tracking, terrain-aided tracking of ground vehicles, and group and extended object tracking.

Applied Stochastic Differential Equations

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Publisher : Cambridge University Press
ISBN 13 : 1316510085
Total Pages : 327 pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis Applied Stochastic Differential Equations by : Simo Särkkä

Download or read book Applied Stochastic Differential Equations written by Simo Särkkä and published by Cambridge University Press. This book was released on 2019-05-02 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this hands-on introduction readers will learn what SDEs are all about and how they should use them in practice.

Introduction to Aircraft Flight Mechanics

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Publisher : AIAA
ISBN 13 : 9781600860782
Total Pages : 666 pages
Book Rating : 4.8/5 (67 download)

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Book Synopsis Introduction to Aircraft Flight Mechanics by : Thomas R. Yechout

Download or read book Introduction to Aircraft Flight Mechanics written by Thomas R. Yechout and published by AIAA. This book was released on 2003 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a 15-year successful approach to teaching aircraft flight mechanics at the US Air Force Academy, this text explains the concepts and derivations of equations for aircraft flight mechanics. It covers aircraft performance, static stability, aircraft dynamics stability and feedback control.

The Hundred-page Machine Learning Book

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Publisher :
ISBN 13 : 9781999579500
Total Pages : 141 pages
Book Rating : 4.5/5 (795 download)

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Book Synopsis The Hundred-page Machine Learning Book by : Andriy Burkov

Download or read book The Hundred-page Machine Learning Book written by Andriy Burkov and published by . This book was released on 2019 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.

Nonnegative Matrix and Tensor Factorizations

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Publisher : John Wiley & Sons
ISBN 13 : 9780470747285
Total Pages : 500 pages
Book Rating : 4.7/5 (472 download)

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Book Synopsis Nonnegative Matrix and Tensor Factorizations by : Andrzej Cichocki

Download or read book Nonnegative Matrix and Tensor Factorizations written by Andrzej Cichocki and published by John Wiley & Sons. This book was released on 2009-07-10 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). NMF/NTF and their extensions are increasingly used as tools in signal and image processing, and data analysis, having garnered interest due to their capability to provide new insights and relevant information about the complex latent relationships in experimental data sets. It is suggested that NMF can provide meaningful components with physical interpretations; for example, in bioinformatics, NMF and its extensions have been successfully applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining. As such, the authors focus on the algorithms that are most useful in practice, looking at the fastest, most robust, and suitable for large-scale models. Key features: Acts as a single source reference guide to NMF, collating information that is widely dispersed in current literature, including the authors’ own recently developed techniques in the subject area. Uses generalized cost functions such as Bregman, Alpha and Beta divergences, to present practical implementations of several types of robust algorithms, in particular Multiplicative, Alternating Least Squares, Projected Gradient and Quasi Newton algorithms. Provides a comparative analysis of the different methods in order to identify approximation error and complexity. Includes pseudo codes and optimized MATLAB source codes for almost all algorithms presented in the book. The increasing interest in nonnegative matrix and tensor factorizations, as well as decompositions and sparse representation of data, will ensure that this book is essential reading for engineers, scientists, researchers, industry practitioners and graduate students across signal and image processing; neuroscience; data mining and data analysis; computer science; bioinformatics; speech processing; biomedical engineering; and multimedia.

Interpretable Machine Learning

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Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

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Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.