Machine Learning in Image Analysis and Pattern Recognition

• Other Authors: Kumar, Munish (Editor), Sharma, R. K. (Editor), Sethi, Ishwar (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: Information technology industries; 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; internet of things; detection; dataset; plant disease recognition; image segmentation; aphid; Aphoidea; lemon; breast cancer mammogram dataset; ultrasound breast cancer scans; BI-RADS; clinical data
• Online Access: DOAB: download the publication; DOAB: description of the publication

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 applic...