Handbook of pattern recognition and computer vision:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai
World Scientific
[2016]
|
| Ausgabe: | 5th edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | Literaturangaben |
| Beschreibung: | xvi, 565 Seiten Illustrationen, Diagramme (Teilweise farbig) |
| ISBN: | 9789814656528 |
Internformat
MARC
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| 245 | 1 | 0 | |a Handbook of pattern recognition and computer vision |c editor, C.H. Chen (University of Massachusetts Dartmouth, USA) |
| 250 | |a 5th edition | ||
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Datensatz im Suchindex
| _version_ | 1804176166602407936 |
|---|---|
| adam_text | CONTENTS
Preface to the 5th Edition vii
Part 1: Pattern Recognition Methods and Applications 1
Chapter 1.1 Syntactic Pattern Recognition: Paradigm Issues and Open Problems 3 Mariusz Flasinski
Chapter 1.2 Deep Discriminative and Generative Models for Speech Pattern Recognition 27 Li Deng and Navdcep Jaiily
Chapter 1.3 On Measuring and Quantifying Performance: Error Rates, Surrogate Loss, and An Example in Semi-supervised Learning 53 Marco Loog, Jesse H. Krijthe, and Are C. Jensen
Chapter 1.4 Information Theoretic Clustering Using a k-Nearest Neighbors-based Divergence Measure 69 Vidar V. Vikjord and Robert Jenssen
Chapter 1.5 Pruning Trees in Random Forests for Minimizing Non Detection in Medical Imaging 89
Laurent Heutte, Caroline Petit jean, and Ghesner Desir
XIV
Contents
Chapter 1.6 Recent Advances on Optimum-path Forest for Data Classification: Supervised. Semi-supervised, and Unsupervised Learning 109 Jo do Paulo Papa, Willian Paraguassu Amorim, Alexandre Xavier Falcao, and Jo do Manuel R. S. Tavares
Chapter 1.7 On Curvelet-based Texture Features for Pattern Classification 125 Ching- Chung Li and Wen- Ghyi Lin
Chapter 1.8 Computer Recognition and Evaluation of Coins 141 Bo-Yuan Feng, Ke Sum Parmida Atighechian, and Ching Y. Suen
Chapter 1.9 Supervised and Unsupervised Feature Descriptors for Error-resilient Underwater Live Fish Recognition 159 Meng-Che Chuang, Jenq-Neng Hwang, and Kresimir Williams
Chapter 1.10 Model Adaptation for Personalized Music Emotion Recognition 175 Yi-Hsuan Yang. Ju-Chiang Wang, Yu-An Chen, and Homer H. Chen
Part 2: Computer Vision and Image Processing 195
Chapter 2.1 Context Assisted Person Identification for Images and Videos 197 Liyan Zhang, Dmitri V. Kalashnikov, and Sharad Mehrotra
Chapter 2.2 Statistical Shape Spaces for 3D Data: A Review 217 Alan Brunton. Augusta Salazar. Timo Bolkarl. and Stefame Wuhrer
Chapter 2.3 Tracking Without Appearance Descriptors 239 Mehrsan Javan Roshtkhan and Martin D. Levine
Contents
xv
Chapter 2.4 Knowledge Augmented Visual Learning 255
Ziheng Wang and Qiang Ji
Chapter 2.5 Graph Edit Distance — Novel Approximation Algorithms 275
Kaspar RAcsen and Horst Bunke
Chapter 2.6 Latest Developments of LSTM Neural Networks with
Applications of Document Image Analysis 293
Marcus LivnckL Volkmar Frmken, and Muhammad
Zeshan Afzal
Chapter 2.7 Analyzing Remote Sensing Images with Hierarchial
Morphological Ropresei i t aliens 313
Gabride GavaMaro, Marwro Dalla Mum
and Jon AtM Bemdiklsson
Chapter 2.8 Manifold-based Sparse Representation
for Hyperspectral Image Classification 331
Yuan Yarn Tang and, Haoliang Yuan
Chapter 2.9 A Review of Texture Classification Methods
and Their Applications in Medical Image Analysis
of the Brain 351
Rouzheh MaanL Sanjay Kalra. and Yee-Hong Yang
Chapter 2.10 3D Tomosynthesis to Detect Breast Cancer 371
Yanbin Lu, Mina Yousefi, John Ellenherger. Richard
FL Moore. Daniel B. Koparrts. Adam Krzyzak. mid
Cliiiig Y. Suen
Part 3: System, Architecture, and Technology 395
Chapter 3.1
Combining Representations for Improved Sketch Recognition 397
Sonya Cates
xv
Contents
Chapter 3.2
Chapter 3.3
Chapter 3.4
Chapter 3.5
Chapter 3.6
Chapter 3.7
Chapter 3.8
Chapter 3.9
Visual Object Recognition with Image Retrieval
Sedat Ozer
Efficient Identification of Faces in Video Streams
Using Low-power Multi-core Devices
Donavan Prieur. Eric Granger. Yvon Savaria, and
Claude Thibeault
Kernel-based Learning for Fault Detection
and Identification in Fuel Cell Systems
Gabriele Moser, Paola Costamagna,
Andrea De Giorgi, Lissy Pellaco. Andrea Trucco,
and Sebastiano B. Serpico
Outdoor Shadow Modelling and its Applications
Lin Gu and Antonio Robles-Kelly
Fast Structured Tracker with Improved Motion Model
Using Robust Kalman Filter
Ivan Bogun and Eraldo Ribeiro
Using 3D Vision for Automated Industrial Inspection
David J. Michael
Vision Challenges in Image-based Barcode Readers
Xianju Wang and Xiangyun (Mary) Ye
Parallel Pattern Matching Using the Automata Processor
Matt Tanner. Matt Grimm, and Harold B. Noyes
415
427
455
473
491
509
521
539
Index
561
HANDBOOK OF
PATTERN RECOGNITION
AND COMPUTER VISION
Pattern recognition, image processing and computer
vision are closely linked areas which have seen enormous
progress in the last fifty years. Their applications in our
daily life, commerce and industry are growing even more
rapidly than theoretical advances. Hence, the need for
a new handbook in pattern recognition and computer
vision every five or six years as envisioned in 1990 is
fully justified and valid.
The book consists of three parts: (1) Pattern recognition
methods and applications; (2) Computer vision and
image processing; and (3) Systems, architecture and
technology. This book is intended to capture the major
developments in pattern recognition and computer vision
though it is impossible to cover all topics.
The chapters are written by experts from many countries,
fully reflecting the strong international research interests
in the areas. This fifth edition will complement the
previous four editions of the book.
|
| any_adam_object | 1 |
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| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.4 |
| dewey-sort | 16.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 5th edition |
| format | Book |
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| spelling | Handbook of pattern recognition and computer vision editor, C.H. Chen (University of Massachusetts Dartmouth, USA) 5th edition New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai World Scientific [2016] © 2016 xvi, 565 Seiten Illustrationen, Diagramme (Teilweise farbig) txt rdacontent n rdamedia nc rdacarrier Literaturangaben Mustererkennung (DE-588)4040936-3 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Computervision (DE-588)4207417-4 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Mustererkennung (DE-588)4040936-3 s Maschinelles Sehen (DE-588)4129594-8 s DE-604 Computervision (DE-588)4207417-4 s 1\p DE-604 Chen, Chi-hau 1937- (DE-588)110444965 edt Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028936431&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028936431&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
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| title | Handbook of pattern recognition and computer vision |
| title_auth | Handbook of pattern recognition and computer vision |
| title_exact_search | Handbook of pattern recognition and computer vision |
| title_full | Handbook of pattern recognition and computer vision editor, C.H. Chen (University of Massachusetts Dartmouth, USA) |
| title_fullStr | Handbook of pattern recognition and computer vision editor, C.H. Chen (University of Massachusetts Dartmouth, USA) |
| title_full_unstemmed | Handbook of pattern recognition and computer vision editor, C.H. Chen (University of Massachusetts Dartmouth, USA) |
| title_short | Handbook of pattern recognition and computer vision |
| title_sort | handbook of pattern recognition and computer vision |
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