Results 191 to 200 of about 114,276 (231)

Robust Low-Rank Tensor Minimization via a New Tensor Spectral $k$ -Support Norm

IEEE Transactions on Image Processing, 2020
Recently, based on a new tensor algebraic framework for third-order tensors, the tensor singular value decomposition (t-SVD) and its associated tubal rank definition have shed new light on low-rank tensor modeling.
Jian Lou, Yiu-ming Cheung
semanticscholar   +1 more source

Intrinsic carbon nanotube liquid crystalline elastomer photoactuators for high-definition biomechanics.

Materials Horizons, 2022
Photoresponsive soft actuators with the unique merits of flexibility, contactless operation, and remote control have huge potential in technological applications of bionic robotics and biomedical devices. Herein, a facile strategy was proposed to prepare
Juzhong Zhang, D. Sun, Bin Zhang, Qingqing Sun, Yang Zhang, Shuiren Liu, Yaming Wang, Chuntai Liu, Jinzhou Chen, Jingbo Chen, Yanlin Song, Xuying Liu   +11 more
semanticscholar   +1 more source

1-Bit Tensor Completion via Max-and-Nuclear-Norm Composite Optimization

IEEE Transactions on Signal Processing
With the emergence of various tensor data, tensor completion from one-bit measurements has received widespread attention as a fundamental inverse problem.
Wenfei Cao, Xia Chen, Shoucheng Yan, Zeyue Zhou, Andrzej Cichocki   +4 more
semanticscholar   +1 more source

Multi-Dimensional Visual Data Restoration: Uncovering the Global Discrepancy in Transformed High-Order Tensor Singular Values

IEEE Transactions on Image Processing
The recently proposed high-order tensor algebraic framework generalizes the tensor singular value decomposition (t-SVD) induced by the invertible linear transform from order-3 to order-d ( $d\gt 3$ ).
Chengxun He, Yang Xu, Zebin Wu, Shangdong Zheng, Zhihui Wei   +4 more
semanticscholar   +1 more source

A Probabilistic Definition of Intrinsic Dimensionality for Images

DAGM-Symposium, 2003
M. Felsberg, N. Krüger
semanticscholar   +1 more source