Machine Learning in Image Analysis and Pattern Recognition
Material type:![Article](/opac-tmpl/lib/famfamfam/AR.png)
- books978-3-0365-1713-1
- 9783036517148
- 9783036517131
- 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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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
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.
Creative Commons https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/
English
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