Title:
Robust Latent Feature Learning for Incomplete Big Data
Author:
Wu, Di. author.
ISBN:
9789811981401
Edition:
1st ed. 2023.
Physical Description:
XIII, 112 p. 1 illus. online resource.
Series:
SpringerBriefs in Computer Science,
Contents:
Chapter 1. Introduction -- Chapter 2. Basis of Latent Feature Learning -- Chapter 3. Robust Latent Feature Learning based on Smooth L1-norm -- Chapter 4. Improving robustness of Latent Feature Learning Using L1-norm -- Chapter 5. Improve robustness of latent feature learning using double-space -- Chapter 6. Data-characteristic-aware latent feature learning -- Chapter 7. Posterior-neighborhood-regularized Latent Feature Learning -- Chapter 8. Generalized deep latent feature learning -- Chapter 9. Conclusion and Outlook. .
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-19-8140-1Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
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Searching... | E-Book | 520169-1001 | XX(520169.1) | Searching... | Searching... |