Abstract: Model compression techniques are of great interest in spatio-temporal data analysis due to the increasing need for scalable and effective deep learning systems. In this study, we investigate ...

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.

Background and purpose: Glymphatic system in type 2 diabetes mellitus (T2DM) but not in the prodrome, prediabetes (Pre-DM) was investigated using diffusion tensor image analysis along the perivascular ...

The most detailed research yet on corporate response to the 2017 Republican tax law shows modest gains for workers and high cost to the federal debt. By Jim Tankersley Jim Tankersley is an economics ...

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This study introduces a deep learning-based feature endpoint detection method for quantitatively determining the essential phenotype and organ features of zebrafish larvae. Cross-Shaped Heat Tensor ...

Introduction: The understanding of epileptic seizure pathogenesis has evolved over time, and it is now generally accepted that not only are cortical and subcortical areas involved but also the ...

We fit the BSTN (Bayesian skewed tensor normal) model with tensor SAS (spike-and-slab) prior. The following plot (Figure 1 in the main text) shows D-statistic map of ...

Abstract: With the growing demand of big data mining, tensor as a tool representing multidimensional data is wild used in many systems. Then, streaming tensor analysis approaches have come forth for ...