Low-rank tensor completion has become a fundamental tool for recovering high-dimensional data from incomplete observations. However, conventional methods rely primarily on algebraic low-rank priors ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

Abstract: Comparing tensors and identifying their (dis)similar structures is fundamental in understanding the underlying phenomena for complex data. Tensor decomposition methods help analysts extract ...

Tensor (TNSR) is today’s top gainer with a 90% price jump. Weekly gains now exceed 340% amid broader market losses The rally occurred without major news or platform developments, raising concerns.

Steve is a Senior Writer at AP, where he covers over 40 smartphones a year. Steve has carried the latest and greatest around in his pocket for nearly 30 years, with everything from Motorola StarTACs ...

Abstract: In this paper, by utilizing the tensor computation, we propose a novel analysis dictionary learning (ADL) algorithm named tensor analysis dictionary learning (TADL) to effectively represent ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

I'm new to dimensional analysis, particularly with the PhySO approach, and I'm trying to define the Dimensional Analysis Unit for a Tensor with real and complex numbers where: The real part represents ...