Low-bit quantized neural networks are of great interest in practical
app...
One of the most computationally intensive parts in modern recognition sy...
Quantized low-precision neural networks are very popular because they re...
In this paper we consider speedup potential of morphological image filte...
This paper considers a convolutional neural network transformation that
...
In this work we apply commonly known methods of non-adaptive interpolati...
In the paper we introduce a novel bipolar morphological neuron and bipol...