Machine Learning in Image Analysis and Pattern Recognition

• Outros Autores: Kumar, Munish (Editor), Sharma, R. K. (Editor), Sethi, Ishwar (Editor)
• Formato: Recurso Eletrônico Capítulo de Livro
• Idioma: inglês
• Publicado em: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Assuntos: 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
• Acesso em linha: DOAB: download the publication; DOAB: description of the publication

Resumo

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.

Descrição Física

1 electronic resource (112 p.)

ISBN

books978-3-0365-1713-1
9783036517148
9783036517131

Acesso

Open Access