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1 - 4 of 4
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 Machine understanding: machine perception and machine perception MU
Les Z., Les M., Springer International Publishing, New York, NY, 2020. 215 pp. Type: Book (978-3-030240-69-1)
This is a difficult book to define/describe. Some parts are very interesting, presenting good research questions and discussions; other parts lack detail and depth--readers are sometimes just sent to the authors’ pre...
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Oct 12 2020 |
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Autonomous vehicle navigation: from behavioral to hybrid multi-controller architectures
Adouane L., A. K. Peters, Ltd., Natick, MA, 2016. 260 pp. Type: Book (978-1-498715-58-4), Reviews: (2 of 2)
If you are interested in learning about the research and development (R&D) of autonomous vehicles, you really should read this book. It is an absolute must-read for people working in this domain; it is up to date (in an area that e...
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Feb 1 2017 |
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Background modeling and foreground detection for video surveillance
Bouwmans T., Porikli F., Höferlin B., Vacavant A., Chapman & Hall/CRC, Boca Raton, FL, 2014. 631 pp. Type: Book (978-1-482205-37-4)
Providing a complete and extensive presentation of up-to-date video surveillance image processing techniques used for background modeling/removal and foreground object detection/tracking, this is an absolute “must-read book&a...
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Jun 9 2015 |
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Hybrid classifiers: methods of data, knowledge, and classifier combination
Wozniak M., Springer Publishing Company, Incorporated, New York, NY, 2013. 232 pp. Type: Book (978-3-642409-96-7)
This book is directed to machine learning (ML) students, researchers, and practitioners searching for a better understanding of different concepts and techniques adopted in data and knowledge manipulation and classification. It is espe...
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Jul 25 2014 |
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