We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
We present a new method for deforming an object in a static real scene, which interacts with animated synthetic characters. Unlike the existing method - making a new synthetic obje...
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
In this paper, we present an approach for modeling an existing web application using communicating finite automata model based on the userdefined properties to be validated. We ela...
May Haydar, Alexandre Petrenko, Houari A. Sahraoui