Verfügbarkeit: Context-enhanced information fusion

Context-enhanced information fusion: boosting real-world performance with domain knowledge

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Bibliographische Detailangaben
Weitere Verfasser:	Snidaro, Lauro (HerausgeberIn), García, Jesús (HerausgeberIn), Llinas, James (HerausgeberIn), Blasch, Erik (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	[Cham] Springer [2016]
Schriftenreihe:	Advances in computer vision and pattern recognition
Schlagworte:	Computer science Artificial intelligence Computer simulation Pattern recognition Computer Science Pattern Recognition Information Systems Applications (incl. Internet) Artificial Intelligence (incl. Robotics) Simulation and Modeling Informatik Künstliche Intelligenz Kontext Informationsintegration
Online-Zugang:	BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FRO01 HTW01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract
Beschreibung:	1 Online-Ressource (XVIII, 703 Seiten, 242 illus., 229 illus. in color)
ISBN:	9783319289717
ISSN:	2191-6586
DOI:	10.1007/978-3-319-28971-7

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Datensatz im Suchindex

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adam_text	CONTEXT-ENHANCED INFORMATION FUSION / : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS PART I: FOUNDATIONS CONTEXT AND FUSION: DEFINITIONS, TERMINOLOGY PART II: CONCEPTS OF CONTEXT FOR FUSION FORMALIZATION OF “CONTEXT” FOR INFORMATION FUSION CONTEXT AS AN UNCERTAIN SOURCE CONTEXTUAL TRACKING APPROACHES IN INFORMATION FUSION CONTEXT ASSUMPTIONS FOR THREAT ASSESSMENT SYSTEMS CONTEXT-AWARE KNOWLEDGE FUSION FOR DECISION SUPPORT PART III: SYSTEMS PHILOSOPHY OF CONTEXTUAL FUSION SYSTEM-LEVEL USE OF CONTEXTUAL INFORMATION ARCHITECTURAL ASPECTS FOR CONTEXT EXPLOITATION IN INFORMATION FUSION MIDDLEWARE FOR EXCHANGE AND VALIDATION OF CONTEXT DATA AND INFORMATION MODELING USER BEHAVIORS TO ENABLE CONTEXT-AWARE PROACTIVE DECISION SUPPORT PART IV: MATHEMATICAL CHARACTERIZATION OF CONTEXT SUPERVISING THE FUSION PROCESS BY CONTEXT ANALYSIS FOR TARGET TRACKING CONTEXT EXPLOITATION FOR TARGET TRACKING CONTEXTUAL TRACKING IN SURFACE APPLICATIONS: ALGORITHMS AND DESIGN EXAMPLES CONTEXT RELEVANCE FOR TEXT ANALYSIS AND ENHANCEMENT FOR SOFT INFORMATION FUSION ALGORITHMS FOR CONTEXT LEARNING AND INFORMATION REPRESENTATION FOR MULTI-SENSOR TEAMS PART V: CONTEXT IN HARD/SOFT FUSION CONTEXT FOR DYNAMIC AND MULTI-LEVEL FUSION MULTI-LEVEL FUSION OF HARD AND SOFT INFORMATION FOR INTELLIGENCE CONTEXT-BASED FUSION OF PHYSICAL AND HUMAN DATA FOR LEVEL 5 INFORMATION FUSION CONTEXT UNDERSTANDING FROM QUERY-BASED STREAMING VIDEO PART VI: APPLICATIONS OF CONTEXT APPROACHES TO FUSION THE ROLE OF CONTEXT IN MULTIPLE SENSOR SYSTEMS FOR PUBLIC SECURITY ENTITY ASSOCIATION USING CONTEXT FOR WIDE-AREA MOTION IMAGERY TARGET TRACKING GROUND TARGET TRACKING APPLICATIONS: DESIGN EXAMPLES FOR MILITARY AND CIVIL DOMAINS CONTEXT-BASED SITUATION RECOGNITION IN COMPUTER VISION SYSTEMS DATA FUSION ENHANCED WITH CONTEXT INFORMATION FOR ROAD SAFETY APPLICATION CONTEXT IN ROBOTICS AND INFORMATION FUSION DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. CONTEXT-ENHANCED INFORMATION FUSION / : 2016 ABSTRACT / INHALTSTEXT THIS INTERDISCIPLINARY TEXT/REFERENCE REVIEWS THE FUNDAMENTAL THEORY AND LATEST METHODS FOR INCLUDING CONTEXTUAL INFORMATION IN FUSION PROCESS DESIGN AND IMPLEMENTATION. CHAPTERS ARE CONTRIBUTED BY THE FOREMOST INTERNATIONAL EXPERTS, SPANNING NUMEROUS DEVELOPMENTS AND APPLICATIONS. THE BOOK HIGHLIGHTS HIGH- AND LOW-LEVEL INFORMATION FUSION PROBLEMS, PERFORMANCE EVALUATION UNDER HIGHLY DEMANDING CONDITIONS, AND DESIGN PRINCIPLES. A PARTICULAR FOCUS IS PLACED ON HOLISTIC APPROACHES THAT INTEGRATE RESEARCH FROM DIFFERENT COMMUNITIES, EMPHASIZING THE BENEFIT OF COMBINING DIFFERENT TECHNIQUES TO OVERCOME THE LIMITATIONS OF A SINGLE PERSPECTIVE OR APPROACH.TOPICS AND FEATURES: INTRODUCES THE ESSENTIAL TERMINOLOGY AND CORE ELEMENTS IN INFORMATION FUSION AND CONTEXT, CONVEYED WITH THE SUPPORT OF THE JDL/DFIG DATA FUSION MODEL PRESENTS KEY THEMES FOR CONTEXT-ENHANCED INFORMATION FUSION, INCLUDING TOPICS DERIVED FROM TARGET TRACKING, DECISION SUPPORT AND THREAT ASSESSMENT DISCUSSES DESIGN ISSUES IN DEVELOPING CONTEXT-AWARE FUSION SYSTEMS, PROPOSING SEVERAL ARCHITECTURES OPTIMIZED FOR CONTEXT ACCESS AND DISCOVERY PROVIDES MATHEMATICAL GROUNDS FOR MODELING THE CONTEXTUAL INFLUENCES IN REPRESENTATIVE FUSION PROBLEMS, SUCH AS SENSOR QUALITY ASSESSMENT, TARGET TRACKING, ROBOTICS, AND TEXT ANALYSIS DESCRIBES THE FUSION OF DEVICE-GENERATED (HARD) DATA WITH HUMAN-GENERATED (SOFT) DATA REVIEWS A DIVERSE RANGE OF APPLICATIONS WHERE THE EXPLOITATION OF CONTEXTUAL INFORMATION IN THE FUSION PROCESS BOOSTS SYSTEM PERFORMANCE THIS AUTHORITATIVE VOLUME WILL BE OF GREAT USE TO RESEARCHERS, ACADEMICS,AND PRACTITIONERS PURSUING APPLICATIONS WHERE INFORMATION FUSION OFFERS A SOLUTION. THE BROAD COVERAGE WILL APPEAL TO THOSE INVOLVED IN A VARIETY OF DISCIPLINES, FROM MACHINE LEARNING AND DATA MINING, TO MACHINE VISION, DECISION SUPPORT SYSTEMS, AND SYSTEMS ENGINEERING. DR. LAURO SNIDARO IS AN ASSISTANT PROFESSOR IN THE DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE AT THE UNIVERSITY OF UDINE, ITALY. DR. JESUS GARCIA IS AN ASSOCIATE PROFESSOR IN THE COMPUTER SCIENCE AND ENGINEERING DEPARTMENT AT THE CARLOS III UNIVERSITY OF MADRID, SPAIN. DR. JAMES LLINAS IS AN EMERITUS PROFESSOR IN THE DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING, AND IN THE DEPARTMENT OF ELECTRICAL ENGINEERING, AT THE STATE UNIVERSITY OF NEW YORK AT BUFFALO, NY, USA. DR. ERIK BLASCH IS A PRINCIPAL SCIENTIST AT THE AIR FORCE RESEARCH LABORATORY INFORMATION DIRECTORATE (AFRL/RIEA) IN ROME, NY, USA.THE EDITORS AND CONTRIBUTORS HAVE ALL BEEN LEADING EXPERTS WITHIN THE INTERNATIONAL SOCIETY OF INFORMATION FUSION (WWW.ISIF.ORG) DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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id	DE-604.BV043579524
illustrated	Not Illustrated
indexdate	2024-07-10T07:29:22Z
institution	BVB
isbn	9783319289717
issn	2191-6586
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-028994197
oclc_num	951020151
open_access_boolean
owner	DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-573 DE-M347 DE-703 DE-739 DE-634
owner_facet	DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-573 DE-M347 DE-703 DE-739 DE-634
physical	1 Online-Ressource (XVIII, 703 Seiten, 242 illus., 229 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2016
publishDate	2016
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publishDateSort	2016
publisher	Springer
record_format	marc
series2	Advances in computer vision and pattern recognition
spelling	Context-enhanced information fusion boosting real-world performance with domain knowledge Lauro Snidaro, Jesús García, James Llinas, Erik Blasch, editors [Cham] Springer [2016] © 2016 1 Online-Ressource (XVIII, 703 Seiten, 242 illus., 229 illus. in color) txt rdacontent c rdamedia cr rdacarrier Advances in computer vision and pattern recognition 2191-6586 Computer science Artificial intelligence Computer simulation Pattern recognition Computer Science Pattern Recognition Information Systems Applications (incl. Internet) Artificial Intelligence (incl. Robotics) Simulation and Modeling Informatik Künstliche Intelligenz Kontext (DE-588)4165149-2 gnd rswk-swf Informationsintegration (DE-588)4161670-4 gnd rswk-swf Informationsintegration (DE-588)4161670-4 s Kontext (DE-588)4165149-2 s 1\p DE-604 Snidaro, Lauro (DE-588)1106355024 edt García, Jesús (DE-588)1106355776 edt Llinas, James (DE-588)1106356012 edt Blasch, Erik (DE-588)1106356993 edt Erscheint auch als Druckausgabe 978-3-319-28969-4 https://doi.org/10.1007/978-3-319-28971-7 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994197&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994197&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Context-enhanced information fusion boosting real-world performance with domain knowledge Computer science Artificial intelligence Computer simulation Pattern recognition Computer Science Pattern Recognition Information Systems Applications (incl. Internet) Artificial Intelligence (incl. Robotics) Simulation and Modeling Informatik Künstliche Intelligenz Kontext (DE-588)4165149-2 gnd Informationsintegration (DE-588)4161670-4 gnd
subject_GND	(DE-588)4165149-2 (DE-588)4161670-4
title	Context-enhanced information fusion boosting real-world performance with domain knowledge
title_auth	Context-enhanced information fusion boosting real-world performance with domain knowledge
title_exact_search	Context-enhanced information fusion boosting real-world performance with domain knowledge
title_full	Context-enhanced information fusion boosting real-world performance with domain knowledge Lauro Snidaro, Jesús García, James Llinas, Erik Blasch, editors
title_fullStr	Context-enhanced information fusion boosting real-world performance with domain knowledge Lauro Snidaro, Jesús García, James Llinas, Erik Blasch, editors
title_full_unstemmed	Context-enhanced information fusion boosting real-world performance with domain knowledge Lauro Snidaro, Jesús García, James Llinas, Erik Blasch, editors
title_short	Context-enhanced information fusion
title_sort	context enhanced information fusion boosting real world performance with domain knowledge
title_sub	boosting real-world performance with domain knowledge
topic	Computer science Artificial intelligence Computer simulation Pattern recognition Computer Science Pattern Recognition Information Systems Applications (incl. Internet) Artificial Intelligence (incl. Robotics) Simulation and Modeling Informatik Künstliche Intelligenz Kontext (DE-588)4165149-2 gnd Informationsintegration (DE-588)4161670-4 gnd
topic_facet	Computer science Artificial intelligence Computer simulation Pattern recognition Computer Science Pattern Recognition Information Systems Applications (incl. Internet) Artificial Intelligence (incl. Robotics) Simulation and Modeling Informatik Künstliche Intelligenz Kontext Informationsintegration
url	https://doi.org/10.1007/978-3-319-28971-7 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994197&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=028994197&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT snidarolauro contextenhancedinformationfusionboostingrealworldperformancewithdomainknowledge AT garciajesus contextenhancedinformationfusionboostingrealworldperformancewithdomainknowledge AT llinasjames contextenhancedinformationfusionboostingrealworldperformancewithdomainknowledge AT blascherik contextenhancedinformationfusionboostingrealworldperformancewithdomainknowledge

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