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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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Bibliographic Details
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
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Description
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.
Physical Description:1 electronic resource (112 p.)
ISBN:books978-3-0365-1713-1
9783036517148
9783036517131
Access:Open Access

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