Tensors for Data Processing: Theory, Methods, and Applications

ISBN-13: 9780128244470 / Angielski / Miękka / 2021 / 598 str.

Yipeng Liu

Spis treści

1 Tensor decompositions: computations, applications, and challenges

2 Transform-based tensor singular value decomposition in multidimensional image recovery

3 Partensor

4 A Riemannian approach to low-rank tensor learning

5 Generalized thresholding for low-rank tensor recovery: approaches based on model and learning

6 Tensor principal component analysis

7 Tensors for deep learning theory

8 Tensor network algorithms for image classification

9 High-performance tensor decompositions for compressing and accelerating deep neural networks

10 Coupled tensor decompositions for data fusion

11 Tensor methods for low-level vision

12 Tensors for neuroimaging

13 Tensor representation for remote sensing images

14 Structured tensor train decomposition for speeding up kernel-based learning