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|a 1531952139
|a 1531974121
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|a 9789819677108 (electronic bk.)
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|a 9819677106
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|z 9819677092
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|z 9789819677092
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|a 10.1007/978-981-96-7710-8
|2 doi
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| 035 |
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|a (OCoLC)1586586303
|z (OCoLC)1531615508
|z (OCoLC)1531952139
|z (OCoLC)1531974121
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|2 thema
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| 082 |
0 |
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|a 621.382
|2 23
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| 100 |
1 |
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|a Ding, Yao.
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| 245 |
1 |
0 |
|a Graph Neural Network for Hyperspectral Image Clustering /
|c by Yao Ding, Zhili Zhang, Haojie Hu, Renxiang Guan, Jie Feng, Zhiyong Lv.
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| 250 |
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|a 1st ed. 2025.
|
| 264 |
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1 |
|a Singapore :
|b Springer Nature Singapore :
|b Imprint: Springer,
|c 2025.
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| 300 |
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|a 1 online resource (259 pages).
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 341 |
0 |
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|b PDF/UA-1
|2 onix
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| 341 |
0 |
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|b Table of contents navigation
|2 onix
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| 341 |
0 |
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|b Single logical reading order
|2 onix
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| 341 |
0 |
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|b Short alternative textual descriptions
|2 onix
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| 341 |
0 |
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|b Use of color is not sole means of conveying information
|2 onix
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| 341 |
0 |
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|2 onix
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| 341 |
0 |
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|b Next / Previous structural navigation
|2 onix
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| 341 |
0 |
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|b All non-decorative content supports reading without sight
|2 onix
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| 490 |
1 |
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|a Intelligent Perception and Information Processing,
|x 3059-3816
|
| 532 |
8 |
|
|a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.
|
| 532 |
8 |
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|a No reading system accessibility options actively disabled
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| 532 |
8 |
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|a Publisher contact for further accessibility information: accessibilitysupport@springernature.com
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| 505 |
0 |
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|a Introduction -- Self-supervised Efficient Low-pass Contrastive Graph Clustering for Hyperspectral Images -- Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering -- Adaptive Homophily Clustering: A Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image -- Pixel-superpixel Contrastive Learning And Pseudo-label correction For Hyperspectral Image Clustering -- Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks.
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| 520 |
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|a This book investigates detailed hyperspectral image clustering using graph neural network (graph learning) methods, focusing on the overall construction of the model, design of self-supervised methods, image pre-processing, and feature extraction of graph information. Multiple graph neural network-based clustering methods for hyperspectral images are proposed, effectively improving the clustering accuracy of hyperspectral images and taking an important step towards the practical application of hyperspectral images. This book is innovative in content and emphasizes the integration of theory with practice, which can be used as a reference book for graduate students, senior undergraduate students, researchers, and engineering technicians in related majors such as electronic information engineering, computer application technology, automation, instrument science and technology, remote sensing. .
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| 650 |
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0 |
|a Image processing.
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| 650 |
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0 |
|a Medicine
|x Research.
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| 650 |
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|a Biology
|x Research.
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| 650 |
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0 |
|a Neural networks (Computer science)
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| 650 |
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0 |
|a Machine learning.
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| 650 |
1 |
4 |
|a Image Processing.
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| 650 |
2 |
4 |
|a Biomedical Research.
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| 650 |
2 |
4 |
|a Mathematical Models of Cognitive Processes and Neural Networks.
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| 650 |
2 |
4 |
|a Machine Learning.
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| 650 |
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6 |
|a Traitement d'images.
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| 650 |
|
6 |
|a Médecine
|x Recherche.
|
| 650 |
|
6 |
|a Biologie
|x Recherche.
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| 650 |
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6 |
|a Réseaux neuronaux (Informatique)
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| 650 |
|
6 |
|a Apprentissage automatique.
|
| 650 |
|
7 |
|a image processing.
|2 aat
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| 655 |
|
0 |
|a Electronic books.
|
| 700 |
1 |
|
|a Zhang, Zhili.
|
| 700 |
1 |
|
|a Hu, Haojie.
|
| 700 |
1 |
|
|a Guan, Renxiang.
|
| 700 |
1 |
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|a Feng, Jie.
|
| 700 |
1 |
|
|a Lv, Zhiyong.
|
| 776 |
0 |
8 |
|z 981-9677-09-2
|
| 776 |
0 |
8 |
|c Original
|z 9819677092
|z 9789819677092
|w (OCoLC)1517294210
|
| 830 |
|
0 |
|a Intelligent Perception and Information Processing,
|x 3059-3816
|
| 852 |
8 |
|
|b POD
|z This title is available for the library to purchase for your use. Click the "Purchase It For Me" button to place a request. This item will take 5-10 business days to arrive.
|
| 955 |
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|
|a Ebook POD title
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| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Sterling C. Evans Library
|s Evans POD
|d Purchase on Demand
|t 0
|e TA1637-1638
|h Library of Congress classification
|
| 998 |
f |
f |
|a TA1637-1638
|t 0
|l Purchase on Demand
|