Verfügbarkeit: Decision forests for computer vision and medical image analysis

Decision forests for computer vision and medical image analysis:

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Bibliographische Detailangaben
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	London [u.a.] Springer 2013
Schriftenreihe:	Advances in computer vision and pattern recognition
Schlagworte:	Entscheidungsmodell Bildgebendes Verfahren Bildanalyse Maschinelles Sehen Aufsatzsammlung
Online-Zugang:	BTU01 FHA01 FHM01 FHN01 FKE01 UBG01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract
Beschreibung:	1 Online-Ressource
ISBN:	9781447149286 9781447149293
DOI:	10.1007/978-1-4471-4929-3

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Datensatz im Suchindex

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adam_text	DECISION FORESTS FOR COMPUTER VISION AND MEDICAL IMAGE ANALYSIS / : 2013 TABLE OF CONTENTS / INHALTSVERZEICHNIS OVERVIEW AND SCOPE NOTATION AND TERMINOLOGY PART I: THE DECISION FOREST MODEL INTRODUCTION CLASSIFICATION FORESTS REGRESSION FORESTS DENSITY FORESTS MANIFOLD FORESTS SEMI-SUPERVISED CLASSIFICATION FORESTS PART II: APPLICATIONS IN COMPUTER VISION AND MEDICAL IMAGE ANALYSIS KEYPOINT RECOGNITION USING RANDOM FORESTS AND RANDOM FERNS EXTREMELY RANDOMIZED TREES AND RANDOM SUBWINDOWS FOR IMAGE CLASSIFICATION, ANNOTATION, AND RETRIEVAL CLASS-SPECIFIC HOUGH FORESTS FOR OBJECT DETECTION HOUGH-BASED TRACKING OF DEFORMABLE OBJECTS EFFICIENT HUMAN POSE ESTIMATION FROM SINGLE DEPTH IMAGES ANATOMY DETECTION AND LOCALIZATION IN 3D MEDICAL IMAGES SEMANTIC TEXTON FORESTS FOR IMAGE CATEGORIZATION AND SEGMENTATION SEMI-SUPERVISED VIDEO SEGMENTATION USING DECISION FORESTS CLASSIFICATION FORESTS FOR SEMANTIC SEGMENTATION OF BRAIN LESIONS IN MULTI-CHANNEL MRI MANIFOLD FORESTS FOR MULTI-MODALITY CLASSIFICATION OF ALZHEIMER’S DISEASE ENTANGLED FORESTS AND DIFFERENTIABLE INFORMATION GAIN MAXIMIZATION DECISION TREE FIELDS PART III: IMPLEMENTATION AND CONCLUSION EFFICIENT IMPLEMENTATION OF DECISION FORESTS THE SHERWOOD SOFTWARE LIBRARY CONCLUSIONS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. DECISION FORESTS FOR COMPUTER VISION AND MEDICAL IMAGE ANALYSIS / : 2013 ABSTRACT / INHALTSTEXT DECISION FORESTS (ALSO KNOWN AS RANDOM FORESTS) ARE AN INDISPENSABLE TOOL FOR AUTOMATIC IMAGE ANALYSIS. THIS PRACTICAL AND EASY-TO-FOLLOW TEXT EXPLORES THE THEORETICAL UNDERPINNINGS OF DECISION FORESTS, ORGANIZING THE VAST EXISTING LITERATURE ON THE FIELD WITHIN A NEW, GENERAL-PURPOSE FOREST MODEL. A NUMBER OF EXERCISES ENCOURAGE THE READER TO PRACTICE THEIR SKILLS WITH THE AID OF THE PROVIDED FREE SOFTWARE LIBRARY. AN INTERNATIONAL SELECTION OF LEADING RESEARCHERS FROM BOTH ACADEMIA AND INDUSTRY THEN CONTRIBUTE THEIR OWN PERSPECTIVES ON THE USE OF DECISION FORESTS IN REAL-WORLD APPLICATIONS SUCH AS PEDESTRIAN TRACKING, HUMAN BODY POSE ESTIMATION, PIXEL-WISE SEMANTIC SEGMENTATION OF IMAGES AND VIDEOS, AUTOMATIC PARSING OF MEDICAL 3D SCANS, AND DETECTION OF TUMORS. THE BOOK CONCLUDES WITH A DETAILED DISCUSSION ON THE EFFICIENT IMPLEMENTATION OF DECISION FORESTS. TOPICS AND FEATURES: WITH A FOREWORD BY PROF. YALI AMIT AND PROF.DONALD GEMAN, RECOUNTING THEIR PARTICIPATION IN THE DEVELOPMENT OF DECISION FORESTS INTRODUCES A FLEXIBLE DECISION FOREST MODEL, CAPABLE OF ADDRESSING A LARGE AND DIVERSE SET OF IMAGE AND VIDEO ANALYSIS TASKS INVESTIGATES BOTH THE THEORETICAL FOUNDATIONS AND THE PRACTICAL IMPLEMENTATION OF DECISION FORESTS DISCUSSES THE USE OF DECISION FORESTS FOR SUCH TASKS AS CLASSIFICATION, REGRESSION, DENSITY ESTIMATION, MANIFOLD LEARNING, ACTIVE LEARNING AND SEMI-SUPERVISED CLASSIFICATION INCLUDES EXERCISES AND EXPERIMENTS THROUGHOUT THE TEXT, WITH SOLUTIONS, SLIDES, DEMO VIDEOS AND OTHER SUPPLEMENTARY MATERIAL PROVIDED AT AN ASSOCIATED WEBSITE PROVIDES A FREE, USER-FRIENDLY SOFTWARE LIBRARY, ENABLING THE READER TO EXPERIMENT WITH FORESTS IN A HANDS-ON MANNER WITH ITS CLEAR, TUTORIAL STRUCTURE AND SUPPORTING EXERCISES, THIS TEXT WILL BE OF GREAT VALUE TO STUDENTS WISHING TO LEARN THE BASICS OF DECISION FORESTS, RESEARCHERS WANTING TO BECOME MORE FAMILIAR WITH FOREST-BASED LEARNING,AND PRACTITIONERS INTERESTED IN EXPLORING MODERN AND EFFICIENT IMAGE ANALYSIS TECHNIQUES. DR. A. CRIMINISI AND DR. J. SHOTTON ARE SENIOR RESEARCHERS IN THE COMPUTER VISION GROUP AT MICROSOFT RESEARCH CAMBRIDGE, UK. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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series2	Advances in computer vision and pattern recognition
spelling	Decision forests for computer vision and medical image analysis A. Criminisi ..., ed. London [u.a.] Springer 2013 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Advances in computer vision and pattern recognition Entscheidungsmodell (DE-588)4121201-0 gnd rswk-swf Bildgebendes Verfahren (DE-588)4006617-4 gnd rswk-swf Bildanalyse (DE-588)4145391-8 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Maschinelles Sehen (DE-588)4129594-8 s Bildgebendes Verfahren (DE-588)4006617-4 s Bildanalyse (DE-588)4145391-8 s Entscheidungsmodell (DE-588)4121201-0 s 2\p DE-604 Criminisi, A. Sonstige oth https://doi.org/10.1007/978-1-4471-4929-3 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025858685&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=025858685&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 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Decision forests for computer vision and medical image analysis Entscheidungsmodell (DE-588)4121201-0 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd Bildanalyse (DE-588)4145391-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
subject_GND	(DE-588)4121201-0 (DE-588)4006617-4 (DE-588)4145391-8 (DE-588)4129594-8 (DE-588)4143413-4
title	Decision forests for computer vision and medical image analysis
title_auth	Decision forests for computer vision and medical image analysis
title_exact_search	Decision forests for computer vision and medical image analysis
title_full	Decision forests for computer vision and medical image analysis A. Criminisi ..., ed.
title_fullStr	Decision forests for computer vision and medical image analysis A. Criminisi ..., ed.
title_full_unstemmed	Decision forests for computer vision and medical image analysis A. Criminisi ..., ed.
title_short	Decision forests for computer vision and medical image analysis
title_sort	decision forests for computer vision and medical image analysis
topic	Entscheidungsmodell (DE-588)4121201-0 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd Bildanalyse (DE-588)4145391-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
topic_facet	Entscheidungsmodell Bildgebendes Verfahren Bildanalyse Maschinelles Sehen Aufsatzsammlung
url	https://doi.org/10.1007/978-1-4471-4929-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025858685&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=025858685&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT criminisia decisionforestsforcomputervisionandmedicalimageanalysis

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