Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
2015
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| Schriftenreihe: | Advances in Computer Vision and Pattern Recognition
|
| Schlagworte: | |
| Online-Zugang: | TUM01 UBR01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | XIV, 257 p. Ill. |
| ISBN: | 9781447167143 9781447167136 |
| DOI: | 10.1007/978-1-4471-6714-3 |
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Datensatz im Suchindex
| _version_ | 1804174754536488960 |
|---|---|
| adam_text | SPARSE REPRESENTATION, MODELING AND LEARNING IN VISUAL RECOGNITION
/ CHENG, HONG
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
PART I: INTRODUCTION AND FUNDAMENTALS
INTRODUCTION
THE FUNDAMENTALS OF COMPRESSED SENSING
PART II: SPARSE REPRESENTATION, MODELING AND LEARNING
SPARSE RECOVERY APPROACHES
ROBUST SPARSE REPRESENTATION, MODELING AND LEARNING
EFFICIENT SPARSE REPRESENTATION AND MODELING
PART III: VISUAL RECOGNITION APPLICATIONS
FEATURE REPRESENTATION AND LEARNING
SPARSITY INDUCED SIMILARITY
SPARSE REPRESENTATION AND LEARNING BASED CLASSIFIERS
PART IV: ADVANCED TOPICS
BEYOND SPARSITY
APPENDIX A: MATHEMATICS
APPENDIX B: COMPUTER PROGRAMMING RESOURCES FOR SPARSE RECOVERY
APPROACHES
APPENDIX C: THE SOURCE CODE OF SPARSITY INDUCED SIMILARITY
APPENDIX D: DERIVATIONS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
SPARSE REPRESENTATION, MODELING AND LEARNING IN VISUAL RECOGNITION
/ CHENG, HONG
: 2015
ABSTRACT / INHALTSTEXT
THIS UNIQUE TEXT/REFERENCE PRESENTS A COMPREHENSIVE REVIEW OF THE STATE
OF THE ART IN SPARSE REPRESENTATIONS, MODELING AND LEARNING. THE BOOK
EXAMINES BOTH THE THEORETICAL FOUNDATIONS AND DETAILS OF ALGORITHM
IMPLEMENTATION, HIGHLIGHTING THE PRACTICAL APPLICATION OF COMPRESSED
SENSING RESEARCH IN VISUAL RECOGNITION AND COMPUTER VISION. TOPICS AND
FEATURES: PROVIDES A THOROUGH INTRODUCTION TO THE FUNDAMENTALS OF SPARSE
REPRESENTATION, MODELING AND LEARNING, AND THE APPLICATION OF THESE
TECHNIQUES IN VISUAL RECOGNITION DESCRIBES SPARSE RECOVERY APPROACHES,
ROBUST AND EFFICIENT SPARSE REPRESENTATION, AND LARGE-SCALE VISUAL
RECOGNITION COVERS FEATURE REPRESENTATION AND LEARNING, SPARSITY INDUCED
SIMILARITY, AND SPARSE REPRESENTATION AND LEARNING-BASED CLASSIFIERS
DISCUSSES LOW-RANK MATRIX APPROXIMATION, GRAPHICAL MODELS IN COMPRESSED
SENSING, COLLABORATIVE REPRESENTATION-BASED CLASSIFICATION, AND
HIGH-DIMENSIONAL NONLINEAR LEARNING INCLUDES APPENDICES OUTLINING
ADDITIONAL COMPUTER PROGRAMMING RESOURCES, AND EXPLAINING THE ESSENTIAL
MATHEMATICS REQUIRED TO UNDERSTAND THE BOOK RESEARCHERS AND GRADUATE
STUDENTS INTERESTED IN COMPUTER VISION, PATTERN RECOGNITION AND ROBOTICS
WILL FIND THIS WORK TO BE AN INVALUABLE INTRODUCTION TO TECHNIQUES OF
SPARSE REPRESENTATIONS AND COMPRESSIVE SENSING. DR. HONG CHENGIS
PROFESSOR IN THE SCHOOL OF AUTOMATION ENGINEERING, AND DEPUTY EXECUTIVE
DIRECTOR OF THE CENTER FOR ROBOTICS AT THE UNIVERSITY OF ELECTRONIC
SCIENCE AND TECHNOLOGY OF CHINA. HIS OTHER PUBLICATIONS INCLUDE THE
SPRINGER BOOK AUTONOMOUS INTELLIGENT VEHICLES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Cheng, Hong 1958- |
| author_GND | (DE-588)140371982 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4471-6714-3 |
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| language | English |
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| spelling | Cheng, Hong 1958- Verfasser (DE-588)140371982 aut Sparse Representation, Modeling and Learning in Visual Recognition Theory, Algorithms and Applications by Hong Cheng London Springer London 2015 XIV, 257 p. Ill. txt rdacontent c rdamedia cr rdacarrier Advances in Computer Vision and Pattern Recognition Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Sehen (DE-588)4129594-8 s Mustererkennung (DE-588)4040936-3 s Bildverarbeitung (DE-588)4006684-8 s DE-604 https://doi.org/10.1007/978-1-4471-6714-3 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=028025233&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=028025233&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Cheng, Hong 1958- Sparse Representation, Modeling and Learning in Visual Recognition Theory, Algorithms and Applications Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Mustererkennung (DE-588)4040936-3 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4129594-8 (DE-588)4040936-3 (DE-588)4006684-8 |
| title | Sparse Representation, Modeling and Learning in Visual Recognition Theory, Algorithms and Applications |
| title_auth | Sparse Representation, Modeling and Learning in Visual Recognition Theory, Algorithms and Applications |
| title_exact_search | Sparse Representation, Modeling and Learning in Visual Recognition Theory, Algorithms and Applications |
| title_full | Sparse Representation, Modeling and Learning in Visual Recognition Theory, Algorithms and Applications by Hong Cheng |
| title_fullStr | Sparse Representation, Modeling and Learning in Visual Recognition Theory, Algorithms and Applications by Hong Cheng |
| title_full_unstemmed | Sparse Representation, Modeling and Learning in Visual Recognition Theory, Algorithms and Applications by Hong Cheng |
| title_short | Sparse Representation, Modeling and Learning in Visual Recognition |
| title_sort | sparse representation modeling and learning in visual recognition theory algorithms and applications |
| title_sub | Theory, Algorithms and Applications |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Mustererkennung (DE-588)4040936-3 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Künstliche Intelligenz Maschinelles Sehen Mustererkennung Bildverarbeitung |
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