Deep Convolutional Neural Networks (DCNNs) have exhibited impressive
per...
Face super-resolution is a domain-specific image super-resolution, which...
It is challenging to annotate large-scale datasets for supervised video
...
Training convolutional neural networks (CNNs) with back-propagation (BP)...
Data driven modeling based approaches have recently gained a lot of atte...
2D Convolutional neural network (CNN) has arguably become the de facto
s...
Most multilayer least squares (LS)-based neural networks are structured ...
Recent wor [1] has utilized Moore-Penrose (MP) inverse in deep convoluti...
An iterative method of learning has become a paradigm for training deep
...
According to conventional neural network theories, the feature of
single...