Information Fusion [E-Book] : Machine Learning Methods / by Jinxing Li, Bob Zhang, David Zhang.
In the big data era, increasing information can be extracted from the same source object or scene. For instance, a person can be verified based on their fingerprint, palm print, or iris information, and a given image can be represented by various types of features, including its texture, color, shap...
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Full text |
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Personal Name(s): | Li, Jinxing, author |
Zhang, Bob, author / Zhang, David, author | |
Edition: |
1st edition 2022. |
Imprint: |
Singapore :
Springer,
2022
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Physical Description: |
XXVI, 260 pages 1 illustration (online resource) |
Note: |
englisch |
ISBN: |
9789811689765 |
DOI: |
10.1007/978-981-16-8976-5 |
Subject (LOC): |
- Chapter 1. Introduction
- Chapter 2. Information fusion based on sparse/collaborative representation
- Chapter 3. Information fusion based on gaussian process latent variable model
- Chapter 4. Information fusion based on multi-view and multifeature earning
- Chapter 5. Information fusion based on metric learning
- Chapter 6. Information fusion based on score/weight classifier fusion
- Chapter 7. Information fusion based on deep learning
- Chapter 8. Conclusion.