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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics

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Multimodal Computational Attention for Scene Understanding and Robotics (Hardcover, 1st ed. 2016) Loot Price: R3,531

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Repayment Terms: R331 pm x 12*

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Multimodal Computational Attention for Scene Understanding and Robotics (Hardcover, 1st ed. 2016): Boris Schauerte

Multimodal Computational Attention for Scene Understanding and Robotics (Hardcover, 1st ed. 2016)

Boris Schauerte

Series: Cognitive Systems Monographs, 30

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Loot Price R3,531 Discovery Miles 35 310 | Repayment Terms: R331 pm x 12*

Expected to ship within 12 - 19 working days

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This book presents state-of-the-art computational attention models that have been successfully tested in diverse application areas and can build the foundation for artificial systems to efficiently explore, analyze, and understand natural scenes. It gives a comprehensive overview of the most recent computational attention models for processing visual and acoustic input. It covers the biological background of visual and auditory attention, as well as bottom-up and top-down attentional mechanisms and discusses various applications. In the first part new approaches for bottom-up visual and acoustic saliency models are presented and applied to the task of audio-visual scene exploration of a robot. In the second part the influence of top-down cues for attention modeling is investigated.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Cognitive Systems Monographs, 30
Release date:	May 2016
First published:	2016
Authors:	Boris Schauerte
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	203
Edition:	1st ed. 2016
ISBN-13:	978-3-319-33794-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics Promotions
LSN:	3-319-33794-7
Barcode:	9783319337944