Low-bit quantized neural networks are of great interest in practical
app...
One of the classical approaches to solving color reproduction problems, ...
We explore the link between the extent to which syntactic relations are
...
In this research paper, I will elaborate on a method to evaluate machine...
SERRANT is a system and code for automatic classification of English
gra...
Illumination estimation is the essential step of computational color
con...
We present a method for classifying syntactic errors in learner language...
One of the most computationally intensive parts in modern recognition sy...
Quantized low-precision neural networks are very popular because they re...
Line detection is an important computer vision task traditionally solved...
Filtered back projection (FBP) is a commonly used technique in tomograph...
The patterns in which the syntax of different languages converges and
di...
In this paper we consider speedup potential of morphological image filte...
This paper considers a convolutional neural network transformation that
...
The majority of document image analysis systems use a document skew dete...
In this paper we consider a method for detecting end-to-end curves of li...
In the paper we introduce a novel bipolar morphological neuron and bipol...
In this paper we introduce a novel neural network architecture based on ...
In this work we discuss the known algorithms for linear colour segmentat...