Tensor computation for data analysis
Publication details: Springer 2022 SwitzerlandDescription: xx, 338 p. : ill. Includes references and indexISBN:- 9783030743857
- 515.63 L4T3
| Item type | Current library | Item location | Collection | Shelving location | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
| Books | Vikram Sarabhai Library | Rack 28-A / Slot 1378 (0 Floor, East Wing) | Non-fiction | General Stacks | 515.63 L4T3 (Browse shelf(Opens below)) | Available | 204580 |
Table of Contents
1. Tensor Computation
2. Tensor Decomposition
3. Tensor Dictionary Learning
4. Low-Rank Tensor Recovery
5. Coupled Tensor for Data Analysis
6. Robust Principal Tensor Component Analysis
7. Tensor Regression
8. Statistical Tensor Classification
9. Tensor Subspace Cluster
10. Tensor Decomposition in Deep Networks
11. Deep Networks for Tensor Approximation
12. Tensor-Based Gaussian Graphical Model
13. Tensor Sketch
Provides a systematic and up-to-date overview of tensor decompositions from the engineer’s point of view
Includes an up-to-date coverage of tensor computation based data analysis methods
Discusses a number of typical applications, including experimental results, in machine learning, signal processing, data mining, computer vision, remote sensing, and biomedical engineering
https://link.springer.com/book/10.1007/978-3-030-74386-4#toc
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