Reprint
Machine Learning in Image Analysis and Pattern Recognition
Edited by
August 2021
112 pages
- ISBN978-3-0365-1714-8 (Hardback)
- ISBN978-3-0365-1713-1 (PDF)
This book is a reprint of the Special Issue Machine Learning in Image Analysis and Pattern Recognition that was published in
Biology & Life Sciences
Business & Economics
Computer Science & Mathematics
Environmental & Earth Sciences
Medicine & Pharmacology
Public Health & Healthcare
Summary
This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
machine learning; deep learning; image processing; classification; tea; fermentation; automated image coding; data collection methods; interdisciplinary learning theory; research methods; systematic literature review; visitor use management; image classification; multi-instance learning; divergence; dissimilarity; bag-to-class; Kullback–Leibler; segment-based temporal modeling; two-stream network; action recognition; tea; fermentation; internet of things; detection; dataset; plant disease recognition; image segmentation; image classification; aphid; Aphoidea; lemon; breast cancer mammogram dataset; ultrasound breast cancer scans; BI-RADS; clinical data