Machine Learning in Image Analysis and Pattern Recognition

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...

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Detalhes bibliográficos
Corporate Authors: Kumar, Munish, Sharma, R. K., Sethi, Ishwar
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2021
Assuntos:
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX 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:https://directory.doabooks.org/handle/20.500.12854/76783
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