Robust Tensor SVD and Recovery With Rank Estimation.

Tensor singular value decomposition (t-SVD) has recently become increasingly popular for tensor recovery under partial and/or corrupted observations. However, the existing t -SVD-based methods neither make use of a rank prior nor provide an accurate rank estimation (RE), which would limit their recovery performance. From the practical perspective, the tensor RE problem is nontrivial and difficult to solve.

Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person.

This article focuses on a new and practical problem in single-sample per person face recognition (SSPP FR), i.e., SSPP FR with a contaminated biometric enrolment database (SSPP-ce FR), where the SSPP-based enrolment database is contaminated by nuisance facial variations in the wild, such as poor lightings, expression change, and disguises (e.

Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization.

Multidimensional data (i.e., tensors) with missing entries are common in practice.

Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization.

Completing a matrix from a small subset of its entries, i.e., matrix completion is a challenging problem arising from many real-world applications, such as machine learning and computer vision.

A novel multifunctional biomedical material based on polyacrylonitrile: Preparation and characterization.

Wet spun microfibers have great potential in the design of multifunctional controlled release materials. Curcumin (Cur) and vitamin E acetate (Vit. E Ac) were used as a model drug system to evaluate the potential application of the drug-loaded microfiber system for enhanced delivery.

[The mechanism of tenuigenin for eliminating waste product accumulation in cerebral neurons of Alzheimer's disease rats via ubiquitin-proteasome pathway].

Objective: To explore the scavenging action of tenuigenin (TEN) on intracerebral amyloid β protein (Aβ) aggregation and the abnormal phosphorylated tau protein and its mechanism in Alzheimer's disease (AD) rats' brain.

Methods: Aβ1-40 was injected into the right CA1 region hippocampus to establish the AD model. Successfully modeled rats were divided into the model group, the low, middle, high TEN group.