Tensor algebra plays a major role in various applications, including data analysis, machine learning, and hydrodynamics simulation. Different tensor algebra inherently varies in dimension, size, and ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Spectral variations pose a common challenge in analyzing hyperspectral images (HSI). To address this, low-rank tensor representation has emerged as a robust strategy, leveraging inherent correlations ...