Probabilistic models of early vision:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Helsinki
ESPOO
2002
|
| Schriftenreihe: | Acta polytechnica Scandinavica / Mathematics and computing series
117 |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010189928&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Zugl.: Helsinki, Univ. of Technology, Diss., 2002 |
| Umfang: | 65 S. Ill. |
| ISBN: | 9516666132 |
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| adam_text | MA 117 ACTA POLYTECHNICA SCANDINAVICA MATHEMATICS AND COMPUTING SERIES
NO. 117 PROBABILISTIC MODELS OF EARLY VISION PATRIKO.HOYER HELSINKI
UNIVERSITY OF TECHNOLOGY NEURAL NETWORKS RESEARCH CENTRE SUB GOTTINGEN 7
P.O. BOX 9800 212 212 125 FIN-02015HUT FINLAND DISSERTATION FOR THE
DEGREE OF DOCTOR OF SCIENCE IN TECHNOLOGY TO BE PRESENTED WITH DUE
PERMISSION OF THE DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING FOR
PUBLIC EXAMINATION AND DEBATE IN AUDITORIUM T2 AT HELSINKI UNIVERSITY OF
TECHNOLOGY (ESPOO, FINLAND) ON THE 15-OF NOVEMBER, 2002, AT 12 O CLOCK
NOON. ESPOO 2002 CONTENTS PREFACE 3 NOTATION 6 PUBLICATIONS OF THE
THESIS 7 LIST OF PUBLICATIONS 7 CONTENTS OF THE PUBLICATIONS AND
CONTRIBUTIONS OF THE AUTHOR 7 PURPOSE AND INTENDED AUDIENCE 9 1
INTRODUCTION 10 2 THE COMPUTATIONAL TASK OF VISION 12 2.1 THE STARTING
POINT OF VISION 12 2.2 THE MAGIC OF YOUR VISUAL SYSTEM 13 2.3 THE
DIFFICULTY OF VISION 13 3 A PRIMATE VISUAL SYSTEM PRIMER 17 3.1 WHICH
BIOLOGICAL VISUAL SYSTEM? . 17 3.2 THE MAIN VISUAL PATHWAY 18 3.3 NEURAL
RECEPTIVE FIELDS 18 3.4 TOPOGRAPHIC ORGANIZATION 21 4 STRUCTURE IN
NATURAL IMAGES 22 4.1 THE IMAGE STATE SPACE 22 4.2 DENNING NATURAL
IMAGES 22 4.3 REDUNDANCY OF NATURAL IMAGES 24 5 REDUNDANCY REDUCTION AND
EFFICIENT CODING 26 5.1 REDUNDANCY REDUCTION 26 5.2 TESTING THE
EFFICIENT CODING HYPOTHESIS 26 6 THE LATENT VARIABLE MODEL APPROACH 30
6.1 ANALYSIS-BY-SYNTHESIS 30 6.2 LATENT VARIABLE MODELS 31 6.3 INTERNAL
MODELS 32 7 INDEPENDENT COMPONENT ANALYSIS BASED ON A LATENT VARIABLE
MODEL 33 7.1 SPARSE CODING 33 7.2 THE ICA MODEL 35 7.3 MODELING SIMPLE
CELL RESPONSES 36 8 MODELING COMPLEX CELLS AND TOPOGRAPHY 39 8.1
MODELING COMPLEX CELL RESPONSES 39 8.2 MODELING TOPOGRAPHY 41 9
NON-NEGATIVITY CONSTRAINTS 45 9.1 WHY NON-NEGATIVITY? 45 9.2
NON-NEGATIVE SPARSE CODING 46 9.3 LEARNING RECEPTIVE FIELDS 46 10
CONTOUR CODING 48 10.1 A SIMPLIFIED HIERARCHICAL NETWORK 48 10.2 SPARSE
CODING OF CONTOURS 49 11 CONCLUSION 53 11.1 MAIN POINTS OF THIS THESIS
53 11.2 FUTURE PROSPECTS 54 REFERENCES 55
|
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| building | Verbundindex |
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| indexdate | 2024-12-20T11:12:07Z |
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| language | English |
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| series2 | Acta polytechnica Scandinavica / Mathematics and computing series |
| spellingShingle | Hoyer, Patrik O. Probabilistic models of early vision |
| subject_GND | (DE-588)4113937-9 |
| title | Probabilistic models of early vision |
| title_auth | Probabilistic models of early vision |
| title_exact_search | Probabilistic models of early vision |
| title_full | Probabilistic models of early vision Patrik O. Hoyer |
| title_fullStr | Probabilistic models of early vision Patrik O. Hoyer |
| title_full_unstemmed | Probabilistic models of early vision Patrik O. Hoyer |
| title_short | Probabilistic models of early vision |
| title_sort | probabilistic models of early vision |
| topic_facet | Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010189928&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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| work_keys_str_mv | AT hoyerpatriko probabilisticmodelsofearlyvision |
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Teilbibliothek Mathematik & Informatik
| Signatur: |
0102 DAT 001z 2001 A 964-117 Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |