Texture-based convolutional neural networks (CNNs) have shown great promise in
predicting various types of cancer, including lower grade glioma (LGG) through radiomics …

This paper presents a randomized quaternion singular value decomposition (QSVD)
algorithm for low-rank matrix approximation problems, which are widely used in color face …

Hyperspectral imaging technology, combining traditional imaging and spectroscopy
technologies to simultaneously acquire spatial and spectral information, is deemed to be an …

This paper considers a novel structure-preserving method for solving non-Hermitian
quaternion linear systems arising from color image deblurred problems. From the quaternion …

A randomized quaternion singular value decomposition algorithm based on block Krylov
iteration (RQSVD-BKI) is presented to solve the low-rank quaternion matrix approximation …

To address the non-negativity dropout problem of quaternion models, a novel quasi non-
negative quaternion matrix factorization (QNQMF) model is presented for color image …

Ear recognition is a new kind of biometric identifification technology now. Feature extraction
is a key step in pattern recognition technology, which determines the accuracy of …

The continuous development of science and technology has led to the gradual digitization
and intelligence of campus construction. To apply facial recognition technology to construct …

Deep neural networks (DNNs) have gained widespread adoption in computer vision.
Unfortunately, state‐of‐the‐art DNNs are vulnerable to adversarial example (AE) attacks …

A new data-driven bilateral generalized two-dimensional quaternion principal component
analysis (BiG2DQPCA) is presented to extract the features of matrix samples from both row …