Class-incremental learning (CIL) learns a classification model with trai...
Pattern classification with compact representation is an important compo...
Training convolutional neural networks (CNNs) with back-propagation (BP)...
Deep learning has achieved great success in many applications, but it ha...
Decoupled learning is a branch of model parallelism which parallelizes t...
Based on the property that solving the system of linear matrix equations...
In this article, we show that solving the system of linear equations by
...
In this article, a novel approach to learning a complex function which c...
An extension of the regularized least-squares in which the estimation
pa...