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...
Saved in:
| Format: | Online |
|---|---|
| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
|
| Subjects: | |
| Online Access: | ONIX_20220111_9783036517148_518 |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1869526609882513408 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76783 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-767832024-03-30T12:51:13Z Machine Learning in Image Analysis and Pattern Recognition Kumar, Munish Sharma, R. K. Sethi, Ishwar 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 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. 2022-01-11T13:42:08Z 2022-01-11T13:42:08Z 2021 book ONIX_20220111_9783036517148_518 9783036517148 9783036517131 https://directory.doabooks.org/handle/20.500.12854/76783 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4232 https://mdpi.com/books/pdfview/book/4232 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1713-1 10.3390/books978-3-0365-1713-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036517148 9783036517131 112 Basel, Switzerland open access |
| spellingShingle | 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 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 in Image Analysis and Pattern Recognition |
| title | Machine Learning in Image Analysis and Pattern Recognition |
| title_full | Machine Learning in Image Analysis and Pattern Recognition |
| title_fullStr | Machine Learning in Image Analysis and Pattern Recognition |
| title_full_unstemmed | Machine Learning in Image Analysis and Pattern Recognition |
| title_short | Machine Learning in Image Analysis and Pattern Recognition |
| title_sort | machine learning in image analysis and pattern recognition |
| topic | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20220111_9783036517148_518 |