Machine Learning in Image Analysis and Pattern Recognition

• Autore: Kumar Munish
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (112 p.)
• Soggetto topico: Information technology industries
• Soggetto non controllato: action recognition; aphid; Aphoidea; automated image coding; bag-to-class; BI-RADS; breast cancer mammogram dataset; classification; clinical data; data collection methods; dataset; deep learning; detection; dissimilarity; divergence; fermentation; image classification; image processing; image segmentation; interdisciplinary learning theory; internet of things; Kullback-Leibler; lemon; machine learning; multi-instance learning; plant disease recognition; research methods; segment-based temporal modeling; systematic literature review; tea; two-stream network; ultrasound breast cancer scans; visitor use management
• Persona (resp. second.): SharmaR. K; SethiIshwar; KumarMunish
• Sommario/riassunto: 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.
• Titolo autorizzato: Machine Learning in Image Analysis and Pattern Recognition
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557522603321
• Lo trovi qui: Univ. Federico II