Learning Representation for Multi-View Data Analysis Models and Applications /
This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching reader...
| Main Authors: | , , |
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| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Advanced Information and Knowledge Processing,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-00734-8 |
Table of Contents:
- Introduction
- Multi-view Clustering with Complete Information
- Multi-view Clustering with Partial Information
- Multi-view Outlier Detection
- Multi-view Transformation Learning
- Zero-Shot Learning
- Missing Modality Transfer Learning
- Deep Domain Adaptation
- Deep Domain Generalization. .