Bodo Rosenhahn – författare
1 369 kr
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Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms.
Researchers collecting and analyzing multi-sensory data collections - for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful.
Contains state-of-the-art developments on multi-modal computing Shines a focus on algorithms and applications Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning561 kr
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases
International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases
International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
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Pattern Recognition
38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings
561 kr
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561 kr
Skickas inom 10-15 vardagar
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Skickas inom 10-15 vardagar
561 kr
Skickas inom 10-15 vardagar
556 kr
Skickas inom 10-15 vardagar