Search Results for author:
Found 3 papers, 3 papers with code
A foundation for exact binarized morphological neural networks
Training and running deep neural networks (NNs) often demands a lot of computation and energy-intensive specialized hardware (e. g. GPU, TPU...).
Binary Multi Channel Morphological Neural Network
Neural networks and particularly Deep learning have been comparatively little studied from the theoretical point of view.
Binary Morphological Neural Network
In the last ten years, Convolutional Neural Networks (CNNs) have formed the basis of deep-learning architectures for most computer vision tasks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
