Random forests and their applications in scene understanding
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| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Düsseldorf
VDI Verlag
2015
|
| Ausgabe: | Als Manuskript gedruckt |
| Schriftenreihe: | Reihe 10, Informatik/Kommunikation
Nr. 845 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
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| 300 | |a XI, 154 Seiten |b Illustrationen, Diagramme | ||
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Datensatz im Suchindex
| _version_ | 1819652304944496640 |
|---|---|
| adam_text | C ONTENTS
1 INTRODUCTION 1
2 RELATED WORK AND DATASETS 9
2.1
INTRODUCTION...............................................................................................
10
2.2
APPLICATIONS...............................................................................................
12
2.3 MACHINE
LEARNING......................................................................................
14
2.4 B ENCHM
ARKS...............................................................................................
16
3 FUNDAMENTALS 32
3.1 COMMON FEATURE R
EPRESENTATIONS..........................................................
33
3.2 ADAPTIVE B O O S TIN G
.......................................................................................38
3.3 RANDOM F O R E S
T.............................................................................................43
4 NOVEL FEATURE REPRESENTATIONS FOR ACTION RECOGNITION 60
4.1 COMBINING SINGLE FEATURE
DESCRIPTORS.................................................... 62
4.2 COMPUTATION STRATEGIES FOR SPATIO-TEMPORAL FEATURES . . . . . . . .
. 64
4.3 A NOVEL SPATIO-TEMPORAL F E A T U R E
.......................................................... 72
4.4 TIME SERIES ACTION R ECOGNITION
.............................................................
81
5 IMPROVING CONCEPTS OF RANDOM FOREST 88
5.1 DETECTION BY CLASSIFICATION
......................................................................
90
5.2 PROBABILISTIC NODES FOR MODELLING CLASSIFICATION UNCERTAINTY . . . .
. 100
5.3 COMBINING -WEIGHTS WITH DECISION TREES
................................................
107
5.4 SEQUENTIAL BOOSTED DECISION T REES
............................................................
114
6 CONCLUSIONS 125
A APPLICATIONS USING MACHINE LEARNING TECHNIQUES 129
*.1 O*I
**
THE
*
FLY HANDWRITING
RECOGNITION......................................................130
*.2 OBJECT DETECTION, RECOGNITION AND T RACK IN G
..........................................131
*.3 OTHER A
PPLICATIONS....................................................................................
132
B LIST OF PUBLICATIONS
*
PATENTS AND SUPERVISED THESES 134
*.1 REFEREED
PUBLICATIONS.................................................................................
135
*.2 PATENTS
.......................................................................................................137
*.3 SUPERVISED THESES
.......................................................................................
137
BIBLIOGRAPHY 139
|
| any_adam_object | 1 |
| author | Baumann, Florian |
| author_facet | Baumann, Florian |
| author_role | aut |
| author_sort | Baumann, Florian |
| author_variant | f b fb |
| building | Verbundindex |
| bvnumber | BV043489341 |
| ctrlnum | (OCoLC)944016461 (DE-599)BVBBV043489341 |
| dewey-full | 006.37 510 006.31 004 |
| dewey-hundreds | 000 - Computer science, information, general works 500 - Natural sciences and mathematics |
| dewey-ones | 006 - Special computer methods 510 - Mathematics 004 - Computer science |
| dewey-raw | 006.37 510 006.31 004 |
| dewey-search | 006.37 510 006.31 004 |
| dewey-sort | 16.37 |
| dewey-tens | 000 - Computer science, information, general works 510 - Mathematics |
| discipline | Informatik Mathematik |
| edition | Als Manuskript gedruckt |
| format | Book |
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| genre_facet | Hochschulschrift |
| id | DE-604.BV043489341 |
| illustrated | Illustrated |
| indexdate | 2024-12-24T04:58:36Z |
| institution | BVB |
| isbn | 9783183845101 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028905907 |
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| owner | DE-210 DE-83 |
| owner_facet | DE-210 DE-83 |
| physical | XI, 154 Seiten Illustrationen, Diagramme |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | VDI Verlag |
| record_format | marc |
| series | Reihe 10, Informatik/Kommunikation |
| series2 | Fortschritt-Berichte VDI. Reihe 10, Informatik/Kommunikation |
| spellingShingle | Baumann, Florian Random forests and their applications in scene understanding Reihe 10, Informatik/Kommunikation Boosting (DE-588)4839853-6 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Szenenanalyse (DE-588)4435333-9 gnd Objekterkennung (DE-588)4314334-9 gnd Bewegungsablauf (DE-588)4145130-2 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Entscheidungsbaum (DE-588)4347788-4 gnd Videoübertragung (DE-588)4573103-2 gnd |
| subject_GND | (DE-588)4839853-6 (DE-588)4120957-6 (DE-588)4193754-5 (DE-588)4435333-9 (DE-588)4314334-9 (DE-588)4145130-2 (DE-588)4129594-8 (DE-588)4347788-4 (DE-588)4573103-2 (DE-588)4113937-9 |
| title | Random forests and their applications in scene understanding |
| title_auth | Random forests and their applications in scene understanding |
| title_exact_search | Random forests and their applications in scene understanding |
| title_full | Random forests and their applications in scene understanding Dipl.-Ing. Florian Baumann, Ravensburg |
| title_fullStr | Random forests and their applications in scene understanding Dipl.-Ing. Florian Baumann, Ravensburg |
| title_full_unstemmed | Random forests and their applications in scene understanding Dipl.-Ing. Florian Baumann, Ravensburg |
| title_short | Random forests and their applications in scene understanding |
| title_sort | random forests and their applications in scene understanding |
| topic | Boosting (DE-588)4839853-6 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Szenenanalyse (DE-588)4435333-9 gnd Objekterkennung (DE-588)4314334-9 gnd Bewegungsablauf (DE-588)4145130-2 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Entscheidungsbaum (DE-588)4347788-4 gnd Videoübertragung (DE-588)4573103-2 gnd |
| topic_facet | Boosting Automatische Klassifikation Maschinelles Lernen Szenenanalyse Objekterkennung Bewegungsablauf Maschinelles Sehen Entscheidungsbaum Videoübertragung Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028905907&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000897204 |
| work_keys_str_mv | AT baumannflorian randomforestsandtheirapplicationsinsceneunderstanding |