Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
Springer Verlag, Singapore
978-981-13-9216-0 (ISBN)
Xiaochun Wang received her BS degree from Beijing University and the PhD degree from the Department of Electrical Engineering and Computer Science, Vanderbilt University. She is currently an associate professor of School of Software Engineering at Xi’an Jiaotong University. Her research interests are in computer vision, signal processing, and pattern recognition. Xia Li Wang received the PhD degree from the Department of Computer Science, Northwest University, China, in 2005. He is a faculty member in the Department of Computer Science, Changan University, China. His research interests are in computer vision, signal processing, intelligent traffic system, and pattern recognition. D. Mitchell Wilkes received the BSEE degree from Florida Atlantic, and the MSEE and PhD degrees from Georgia Institute of Technology. His research interests include digital signal processing, image processing and computer vision, structurally adaptive systems, sonar,as well as signal modeling. He is a member of the IEEE and a faculty member at the Department of Electrical Engineering and Computer Science, Vanderbilt University. He is a member of the IEEE.
Part I Introduction.- Part II Unsupervised Learning.- Part III Supervised Learning and Semi-Supervised Learning.- Part IV Reinforcement Learning.
Erscheinungsdatum | 02.09.2019 |
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Zusatzinfo | 78 Illustrations, color; 21 Illustrations, black and white; XXII, 328 p. 99 illus., 78 illus. in color. With Jointly published with Xi'an Jiaotong University Press, Xi'an, China. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Maschinenbau | |
ISBN-10 | 981-13-9216-1 / 9811392161 |
ISBN-13 | 978-981-13-9216-0 / 9789811392160 |
Zustand | Neuware |
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