GitHub

Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection

This repository contains the source code used to produce the results obtained in Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection submitted to Journal of ...
IEEE

Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent

Abstract: This paper considers the problem of recovering a tensor with an underlying low-tubal-rank structure from a small number of corrupted linear measurements. Traditional approaches tackling such ...
IEEE

Content-Aware Subspace Low-Rank Tensor Recovery for Hyperspectral Image Restoration

Abstract: The low-rank tensor model has made great progress for hyperspectral image (HSI) restoration. Recently, the low-rank tensor methods have further been boosted with subspace learning by ...
Indiatimes

Indian Army rank structure explained: Your path to rising through the ranks

The Indian Army follows a well-defined hierarchical rank structure that governs command, leadership, and career progression. Divided into commissioned officers, junior commissioned officers, and other ...