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Free Download Stevan Rudinac, "MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024," English | ISBN: 3031533011 | 2024 | 432 pages | PDF | 23 MB This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29-February 2, 2024.
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Free Download Vadim Malvone, "Multi-Agent Systems: 20th European Conference, EUMAS 2023, Naples, Italy, September 14-15, 2023, Proceedings " English | ISBN: 3031432630 | 2023 | 574 pages | PDF | 28 MB This volume LNCS 14282 constitutes the refereed proceedings of the 20th European Conference EUMAS 2023, held in Naples, Italy, during September 2023.
Free Download Mr Hopkins` Men: Cambridge Reform and British Mathematics in the 19th Century by A.D.D. Craik English | PDF | 2007 | 410 Pages | ISBN : 1848001320 | 96.1 MB Free Download Mozart: Piano Concertos Nos. 20 and 21 By David Grayson 1999 | 156 Pages | ISBN: 0521481562 | PDF | 2 MB This guide to Mozart's two most popular piano concertos--the D minor, K. 466, and the C major, K. 467 (the so-called "Elvira Madigan")--presents the historical background of the works, placing them within the context of Mozart's compositional and performance activities at a time when his reputation as both composer and pianist was at its peak. The special nature of the concerto, as both a form and genre, is explored through a selective survey of some of the approaches that various critics have taken in discussing Mozart's concertos. The concluding chapter discusses a wide range of issues of interest to modern performers. Free Download Navneet Ghedia, "Moving Objects Detection Using Machine Learning " English | ISBN: 3030909093 | 2022 | 92 pages | PDF | 3 MB This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. In addition, the shows how the proposed algorithm makes use of parameter optimization and adaptive threshold techniques as intrinsic improvements of the Gaussian Mixture Model. The presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations were carried out in offline processing with the computation done by a single laptop computer with MATLAB serving as software environment.
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