In this paper, a novel unsupervised model called kernel principal component analysis (KPCA) convolution is proposed for extracting representative features from multi-temporal VHR images. Based on the ...

Deep matrix factorization (DMF) has the capability to discover hierarchical structures within raw data by factorizing matrices layer by layer, allowing it to utilize latent information for superior ...

A digital filter based on non-negative matrix factorization (NMF) enables blind deconvolution of temporal information from large data sets, simultaneously recovering both photon arrival times and the ...

Judging and identifying biological activities and biomarkers inside tissues from imaging features of diseases is challenging, so correlating pathological image data with genes inside organisms is of ...

Hi, I recently found an issue, which appeared randomly: root@54ed4e732e93:/home/comfyuser# pip show xformers torch Name: xformers Version: 0.0.30 Summary: XFormers: A ...

Abstract Aluminum matrix composites (AMCs) are increasingly vital in aerospace and automotive industries due to their superior strength-to-weight ratio and enhanced mechanical properties. This study ...