IEEE

Hyperspectral Image Denoising and Destriping via Gradient Tensor Subspace Low-Rank Learning ...

Abstract: This article proposes a new hyperspectral image (HSI) denoising and destriping method via gradient tensor subspace low-rank learning and along-across stripe directional constraints ...
IEEE

Gradient Subspace-Regularized Hyperspectral Image and Stripe-Coupled Nonconvex Tensor Low ...

Abstract: In this article, we propose a novel, unified, and effective hyperspectral image (HSI) destriping and denoising method with gradient subspace-regularized HSI and stripe-coupled nonconvex ...
note

PyTorch深層学習④テンソル：Tensor編

前回はNumPyを使ってテンソルに触れてみました。今回はPyTorchのTensorを取り扱います。 すでに学んだNumPyのテンソルの知識は、どのように役立つでしょうか。 画像データなどはNumPy形式のデータとして扱われることが多くPyTorchのTensorもNumPyのデータをインポート ...
GitHub

Do you use the full gradient tensor during LLM data selection?

Hello! Thanks for your great work! It is truly the best work I've come across in the field of data selection. I have a question about how the gradients of LLMs are handled in the method: When ...
EurekAlert!

Magnetic Gradient Full-Tensor Fingerprints-Based Security System (IMAGE)

The magnetic gradient full-tensor fingerprints-based security system using anisotropic magnetoresistance sensor arrays. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news ...