Verfügbarkeit: Machine Learning for Audio, Image and Video Analysis

Machine Learning for Audio, Image and Video Analysis: Theory and Applications

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Bibliographische Detailangaben
Beteilige Person:	Camastra, Francesco (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	London Springer London 2015
Ausgabe:	2nd ed. 2015
Schriftenreihe:	Advanced Information and Knowledge Processing
Schlagwörter:	Videobearbeitung Künstliche Intelligenz Bildanalyse Maschinelles Sehen Bildverarbeitung Informatik Maschinelles Lernen Digitales Tonsignal Digitale Signalverarbeitung
Links:	https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 https://doi.org/10.1007/978-1-4471-6735-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028161498&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=028161498&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online-Ressource (XVI, 561 p.) Ill.
ISBN:	9781447167358
ISSN:	1610-3947
DOI:	10.1007/978-1-4471-6735-8

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Datensatz im Suchindex

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adam_text	MACHINE LEARNING FOR AUDIO, IMAGE AND VIDEO ANALYSIS / CAMASTRA, FRANCESCO : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION PART I: FROM PERCEPTION TO COMPUTATION AUDIO ACQUISITION, REPRESENTATION AND STORAGE IMAGE AND VIDEO ACQUISITION, REPRESENTATION AND STORAGE PART II: MACHINE LEARNING MACHINE LEARNING BAYESIAN THEORY OF DECISION CLUSTERING METHODS FOUNDATIONS OF STATISTICAL LEARNING AND MODEL SELECTION SUPERVISED NEURAL NETWORKS AND ENSEMBLE METHODS KERNEL METHODS MARKOVIAN MODELS FOR SEQUENTIAL DATA FEATURE EXTRACTION METHODS AND MANIFOLD LEARNING METHODS PART III: APPLICATIONS SPEECH AND HANDWRITING RECOGNITION SPEECH AND HANDWRITING RECOGNITION VIDEO SEGMENTATION AND KEYFRAME EXTRACTION REAL-TIME HAND POSE RECOGNITION AUTOMATIC PERSONALITY PERCEPTION PART IV: APPENDICES APPENDIX A: STATISTICS APPENDIX B: SIGNAL PROCESSING APPENDIX C: MATRIX ALGEBRA APPENDIX D: MATHEMATICAL FOUNDATIONS OF KERNEL METHODS INDEX DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. MACHINE LEARNING FOR AUDIO, IMAGE AND VIDEO ANALYSIS / CAMASTRA, FRANCESCO : 2015 ABSTRACT / INHALTSTEXT THISSECOND EDITION FOCUSES ON AUDIO, IMAGE AND VIDEO DATA, THETHREE MAIN TYPES OF INPUT THAT MACHINES DEAL WITH WHENINTERACTING WITH THE REAL WORLD. A SET OF APPENDICES PROVIDESTHE READER WITH SELF-CONTAINEDINTRODUCTIONS TO THE MATHEMATICAL BACKGROUND NECESSARY TO READ THE BOOK. DIVIDED INTO THREE MAIN PARTS, FROM PERCEPTION TO COMPUTATION INTRODUCESMETHODOLOGIES AIMED AT REPRESENTINGTHE DATA IN FORMS SUITABLE FOR COMPUTER PROCESSING, ESPECIALLY WHEN IT COMES TO AUDIOAND IMAGES. WHILST THESECOND PART, MACHINE LEARNING INCLUDES AN EXTENSIVE OVERVIEW OF STATISTICAL TECHNIQUES AIMED AT ADDRESSINGTHREE MAIN PROBLEMS, NAMELY CLASSIFICATION (AUTOMATICALLY ASSIGNING A DATA SAMPLE TO ONE OF THE CLASSESBELONGING TO APREDEFINED SET), CLUSTERING (AUTOMATICALLY GROUPING DATA SAMPLES ACCORDING TO THE SIMILARITYOF THEIR PROPERTIES) AND SEQUENCEANALYSIS (AUTOMATICALLY MAPPING A SEQUENCE OF OBSERVATIONS INTO A SEQUENCEOF HUMAN-UNDERSTANDABLE SYMBOLS). THE THIRDPART APPLICATIONS SHOWS HOW THE ABSTRACT PROBLEMS DEFINEDIN THE SECOND PART UNDERLIE TECHNOLOGIES CAPABLE TO PERFORMCOMPLEX TASKS SUCH AS THE RECOGNITION OF HANDGESTURES OR THE TRANSCRIPTION OF HANDWRITTEN DATA. MACHINE LEARNING FOR AUDIO, IMAGE AND VIDEO ANALYSIS IS SUITABLE FOR STUDENTS TO ACQUIRE A SOLID BACKGROUND IN MACHINE LEARNING AS WELL AS FOR PRACTITIONERSTO DEEPENTHEIR KNOWLEDGE OF THE STATE-OF-THE-ART. ALL APPLICATION CHAPTERS ARE BASED ON PUBLICLY AVAILABLEDATA AND FREE SOFTWAREPACKAGES, THUS ALLOWING READERS TO REPLICATE THE EXPERIMENTS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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id	DE-604.BV042730468
illustrated	Illustrated
indexdate	2024-12-20T17:18:26Z
institution	BVB
isbn	9781447167358
issn	1610-3947
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-028161498
oclc_num	915890589
open_access_boolean
owner	DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-634 DE-860 DE-861 DE-739
owner_facet	DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-634 DE-860 DE-861 DE-739
physical	1 Online-Ressource (XVI, 561 p.) Ill.
psigel	ZDB-2-SCS ZDB-2-SCS_2015
publishDate	2015
publishDateSearch	2015
publishDateSort	2015
publisher	Springer London
record_format	marc
series2	Advanced Information and Knowledge Processing
spellingShingle	Camastra, Francesco Machine Learning for Audio, Image and Video Analysis Theory and Applications Videobearbeitung (DE-588)4536854-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Bildanalyse (DE-588)4145391-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd Informatik (DE-588)4026894-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Digitales Tonsignal (DE-588)4229078-8 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd
subject_GND	(DE-588)4536854-5 (DE-588)4033447-8 (DE-588)4145391-8 (DE-588)4129594-8 (DE-588)4006684-8 (DE-588)4026894-9 (DE-588)4193754-5 (DE-588)4229078-8 (DE-588)4113314-6
title	Machine Learning for Audio, Image and Video Analysis Theory and Applications
title_auth	Machine Learning for Audio, Image and Video Analysis Theory and Applications
title_exact_search	Machine Learning for Audio, Image and Video Analysis Theory and Applications
title_full	Machine Learning for Audio, Image and Video Analysis Theory and Applications by Francesco Camastra, Alessandro Vinciarelli
title_fullStr	Machine Learning for Audio, Image and Video Analysis Theory and Applications by Francesco Camastra, Alessandro Vinciarelli
title_full_unstemmed	Machine Learning for Audio, Image and Video Analysis Theory and Applications by Francesco Camastra, Alessandro Vinciarelli
title_short	Machine Learning for Audio, Image and Video Analysis
title_sort	machine learning for audio image and video analysis theory and applications
title_sub	Theory and Applications
topic	Videobearbeitung (DE-588)4536854-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Bildanalyse (DE-588)4145391-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd Informatik (DE-588)4026894-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Digitales Tonsignal (DE-588)4229078-8 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd
topic_facet	Videobearbeitung Künstliche Intelligenz Bildanalyse Maschinelles Sehen Bildverarbeitung Informatik Maschinelles Lernen Digitales Tonsignal Digitale Signalverarbeitung
url	https://doi.org/10.1007/978-1-4471-6735-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028161498&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=028161498&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT camastrafrancesco machinelearningforaudioimageandvideoanalysistheoryandapplications AT vinciarellialessandro machinelearningforaudioimageandvideoanalysistheoryandapplications

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