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Book
Kalman filtering : theory and practice using MATLAB
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ISBN: 1282687026 9786612687020 047037781X 0470377801 9780470377819 9781118851210 9781118984987 9780470173664 0470173661 Year: 2008 Publisher: Hoboken, N.J. : Wiley,

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This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Note: CD-ROM/DVD and other supplementary mate

Keywords

Kalman filtering. --- MATLAB.


Dissertation
Application of the Kalman filter to flight path reconstruction from flight test data including estimation of instrumental bias error corrections

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Book
Robust LIDAR-Based Localization in Underground Mines.
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ISBN: 9179296424 Year: 2021 Publisher: Linköping : Linkopings Universitet,

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This thesis by Kristin Nielsen explores robust LIDAR-based localization methods for underground mines, essential for the transition from manual to autonomous vehicle operation. The work focuses on achieving reliable positioning in environments lacking satellite navigation using onboard sensors like odometers, inertial measurement units, and 2D LIDAR. It implements Bayesian filtering frameworks, particularly the unscented Kalman filter, to enhance position estimation accuracy. Strategies are developed to reduce data processing demands while maintaining precision. Additionally, the research addresses challenges posed by dynamic environments, using feature extraction to improve robustness. The thesis is aimed at researchers and professionals in electrical engineering and autonomous systems, contributing to advancements in mining technology and safety.


Book
A suboptimal approximation to the Kalman filter
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Year: 1969 Publisher: Washington, D.C. : National Aeronautics and Space Administration,

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Book
RecSys'07 : proceedings of the 2007 ACM Conference on Recommender Systems : Minneapolis, MN, USA, October 19-20, 2007
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Year: 2007 Publisher: [Place of publication not identified] Association for Computing Machinery

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Book
Proceedings of the 16th ACM Conference on Recommender Systems
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Year: 2022 Publisher: New York, New York : Association for Computing Machinery,

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Book
A ballistic filter for GPS and accelerometer measurements
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Year: 2010 Publisher: Aberdeen Proving Ground, MD : Army Research Laboratory,

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Book
RecSys'17 : proceedings of the Eleventh ACM Conference on Recommender Systems : August 27-31, 2017, Como, Italy
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Year: 2017 Publisher: New York : The Association for Computing Machinery,

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It is our great pleasure to welcome you to the 2017 ACM Conference on Recommender Systems (RecSys 2017), held in Como, Italy, from August 27th though 31st. The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an enduser's preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world's leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender systems research. RecSys 2017, is the eleventh conference in this series. It brings together researchers and practitioners from the academia and industry to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, RecSys 2017 program features keynote and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium. The program for RecSys 2017 reflects the growth of the Recommender Systems community. For the third time in the history of RecSys we offer two parallel tracks during the three days of the main conference with 106 contributions including 46 technical papers, 9 doctoral symposium papers, 12 industry papers, five tutorials, four keynotes, seven demos and 23 posters. We again offer an extensive pre- and post-conference program with twelve workshops, the RecSys Challenge and the doctoral symposium, which was held at Free University of Bozen-Bolzano on August 25th. Building on the tradition established by previous years, RecSys 2017 features a strong focus on significant real-world challenges facing industrial practitioners and practical solutions to those challenges. The three industry sessions feature a rich set of talks from: Microsoft, Electronic Arts, Dressipi, Farfetch, Netflix, AirBnB, Skyscanner, CloudAcademy, LinkedIn, Blendle, Aptus and Cheetah Mobile. A wide range of domains are represented in these sessions including eCommerce, news, advertising, recruiting, movies, television, fashion, tourism and eLearning. This year's conference has truly been a product of the vibrant and supportive community, and the vast cohort of amazing volunteers. We would like to thank all the members of the organizing committee for their generosity, initiative, and brilliant execution. We are tremendously grateful to the 25 senior and 145 regular Program Committee members, who volunteered their time and generated around 750 detailed reviews and 400 discussion comments.


Book
Einsatz von Empfehlungssystemen zur Kundenansprache in banken : eine konzeptionelle untersuchung anhand des retailgeschafts traditioneller universalbanken
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ISBN: 3956471024 Year: 2017 Publisher: Frankfurt am Main, [Germany] : Frankfurt School Verlag,

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Periodical
ACM transactions on recommender systems.
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ISSN: 27706699 Year: 2023 Publisher: New York, NY : Association for Computing Machinery,

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