Abstract: The high-dimensional information of hyperspectral images makes the classification task more complicated, especially in fine-grained feature extraction and deep network training. In this ...
Abstract: The increasing complexity of industrial quality control necessitates advanced defect detection systems capable of identifying small-scale surface anomalies with high precision. While deep ...
This repository contains the source code used to produce the results obtained in Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection submitted to Journal of ...
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