Holdings: Multimodal computational attention for scene understanding and robotics

Multimodal computational attention for scene understanding and robotics:

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Bibliographic Details
Main Author:	Schauerte, Boris (Author)
Format:	Electronic eBook
Language:	English
Published:	[Cham] Springer [2016]
Series:	Cognitive systems monographs volume 30 (2016)
Subjects:	Engineering Artificial intelligence Image processing Pattern recognition Computational intelligence Robotics Automation Computational Intelligence Robotics and Automation Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition Ingenieurwissenschaften Künstliche Intelligenz
Online Access:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (xxiv, 203 Seiten)
ISBN:	9783319337968
DOI:	10.1007/978-3-319-33796-8

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adam_text	MULTIMODAL COMPUTATIONAL ATTENTION FOR SCENE UNDERSTANDING AND ROBOTICS / SCHAUERTE, BORIS : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION BACKGROUND BOTTOM-UP AUDIO-VISUAL ATTENTION FOR SCENE EXPLORATION MULTIMODAL ATTENTION WITH TOP-DOWN GUIDANCE CONCLUSION APPLICATIONS DATASET OVERVIEW DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. MULTIMODAL COMPUTATIONAL ATTENTION FOR SCENE UNDERSTANDING AND ROBOTICS / SCHAUERTE, BORIS : 2016 ABSTRACT / INHALTSTEXT 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. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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series	Cognitive systems monographs
series2	Cognitive systems monographs
spellingShingle	Schauerte, Boris Multimodal computational attention for scene understanding and robotics Cognitive systems monographs Engineering Artificial intelligence Image processing Pattern recognition Computational intelligence Robotics Automation Computational Intelligence Robotics and Automation Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition Ingenieurwissenschaften Künstliche Intelligenz
title	Multimodal computational attention for scene understanding and robotics
title_auth	Multimodal computational attention for scene understanding and robotics
title_exact_search	Multimodal computational attention for scene understanding and robotics
title_full	Multimodal computational attention for scene understanding and robotics Boris Schauerte
title_fullStr	Multimodal computational attention for scene understanding and robotics Boris Schauerte
title_full_unstemmed	Multimodal computational attention for scene understanding and robotics Boris Schauerte
title_short	Multimodal computational attention for scene understanding and robotics
title_sort	multimodal computational attention for scene understanding and robotics
topic	Engineering Artificial intelligence Image processing Pattern recognition Computational intelligence Robotics Automation Computational Intelligence Robotics and Automation Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition Ingenieurwissenschaften Künstliche Intelligenz
topic_facet	Engineering Artificial intelligence Image processing Pattern recognition Computational intelligence Robotics Automation Computational Intelligence Robotics and Automation Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition Ingenieurwissenschaften Künstliche Intelligenz
url	https://doi.org/10.1007/978-3-319-33796-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028993748&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028993748&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV039846890
work_keys_str_mv	AT schauerteboris multimodalcomputationalattentionforsceneunderstandingandrobotics

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