Results 51 to 60 of about 9,676 (259)

Multi-Feature Tensor Neighborhood Preserving Embedding for 3D Facial Expression Recognition

IEEE Access, 2021
To investigate an effective representation model for 3D facial expression recognition, this paper proposes a multi-feature tensor neighborhood preserving embedding (MFTNPE) method, which seeks various attribute features from raw textured shape scan ...
Yajie Jiang, Qiuqi Ruan
doaj   +1 more source

Provable Tensor-Train Format Tensor Completion by Riemannian Optimization

CoRR, 2021
The tensor train (TT) format enjoys appealing advantages in handling structural high-order tensors. The recent decade has witnessed the wide applications of TT-format tensors from diverse disciplines, among which tensor completion has drawn considerable attention.
Cai, Jianfeng, Li, Jingyang, Xia, Dong
openaire   +4 more sources

Accelerated Low-Rank Tensor Completion via Projected Tensor Block Coordinate Descent

IEEE Access
The low-rank tensor completion problem aims to find a low-rank approximation of a tensor by filling in missing entries from partially observed entries to enhance the accuracy of the tensor data analysis.
Geunseop Lee
doaj   +1 more source

A Novel Truncated Normal Tensor Completion Method for Multi-Source Fusion Data

Mathematics
Completing traffic data is a basic requirement for intelligent transportation systems. However, completing spatiotemporal traffic data poses a significant challenge, especially for high-dimensional data with complex missing mechanisms. Various completion
Yongmei Zhao
doaj   +1 more source

Rail transit OD‐matrix completion via manifold regularized tensor factorisation

IET Intelligent Transport Systems, 2021
Urban rail transit has become an indispensable mode in major cities worldwide regarding the advantages of large capacity, high speed, punctuality, and environmental protection.
Hanxuan Dong, Fan Ding, Huachun Tan, Yuankai Wu, Qin Li, Bin Ran   +5 more
doaj   +1 more source

Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion

Journal of Scientific Computing, 2022
Nonlinear transform, tensor nuclear norm, proximal alternating minimization, tensor ...
Ben-Zheng Li, Xi-Le Zhao, Teng-Yu Ji, Xiongjun Zhang, Ting-Zhu Huang   +4 more
openaire   +2 more sources

Color Image Recovery Using Generalized Matrix Completion over Higher-Order Finite Dimensional Algebra

Axioms, 2023
To improve the accuracy of color image completion with missing entries, we present a recovery method based on generalized higher-order scalars. We extend the traditional second-order matrix model to a more comprehensive higher-order matrix equivalent ...
Liang Liao, Zhuang Guo, Qi Gao, Yan Wang, Fajun Yu, Qifeng Zhao, Stephen John Maybank, Zhoufeng Liu, Chunlei Li, Lun Li   +9 more
doaj   +1 more source

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

FEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas, Porter L. Tomsick, Alicia M. Pickrell, Paul D. Morton   +3 more
wiley   +1 more source

Completely positive biquadratic tensors

Applied Mathematics Letters
In this paper, we systemically introduce completely positive biquadratic (CPB) tensors and copositive biquadratic tensors. We show that all weakly CPB tensors are sum of squares tensors, the CPB tensor cone and the copositive biquadratic tensor cone are dual cone to each other.
Liqun Qi, Chunfeng Cui, Haibin Chen, Yi Xu   +3 more
openaire   +2 more sources

Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion [PDF]

IEEE Transactions on Information Theory, 2017
In this paper, we investigate the sample size requirement for a general class of nuclear norm minimization methods for higher order tensor completion. We introduce a class of tensor norms by allowing for different levels of coherence, which allows us to leverage the incoherence of a tensor.
Ming Yuan 0001, Cun-Hui Zhang
openaire   +2 more sources