Sparse Partial Least Squares (sPLS) is a common dimensionality reduction...
Deep transfer learning (DTL) has formed a long-term quest toward enablin...
The permutation flow shop scheduling (PFSS), aiming at finding the optim...
When applying transfer learning for medical image analysis, downstream t...
Class selectivity is an attribute of a unit in deep neural networks, whi...
Singular value decomposition (SVD) is the mathematical basis of principa...
Support Vector Machine (SVM) is an efficient classification approach, wh...
In many real-world applications, data usually contain outliers. One popu...
In many real-world applications, data come with corruptions, large error...
In many real-world applications, image data often come with noises,
corr...
Linear Discriminant Analysis (LDA) is a widely-used supervised dimension...
Kernel alignment measures the degree of similarity between two kernels. ...
Deep Learning is a very powerful machine learning model. Deep Learning t...
For tensor decompositions such as HOSVD and ParaFac, the objective funct...