In this paper, we propose supervised dictionary learning (SDL) by incorporating information
on class labels into the learning of the dictionary. To this end, we propose to learn the …

In image classification, obtaining adequate data to learn a robust classifier has often proven
to be difficult in several scenarios. Classification of histological tissue images for health care …

This paper tackles the information of 133 RNA viruses available in public databases under
the light of several mathematical and computational tools. First, the formal concepts of …

The mechanism of human cognition and its computability provide an important theoretical
foundation to intelligent computation of visual media. This paper focuses on the intelligent …

This paper investigates the usefulness of the normalized compression distance (NCD) for
image similarity detection. Instead of the direct NCD between images, the paper considers …

Change blindness refers to human inability to recognize large visual changes between
images. In this paper, we present the first computational model of change blindness to …

Over the last few years, the study of characteristics of particles present in the environment
becomes an interesting research area for scientists. Simulation of physical and dynamic …

The problem of developing a similarity index for different objects is discussed. The
limitations of current metrics are evaluated and discussed. The normalized compression …

An efficient DNA compressor furnishes an approximation to measure and compare
information quantities present in, between and across DNA sequences, regardless of the …

Pulmonary nodules are the main pathological changes of the lung. Malignant pulmonary
nodules will be transformed into lung cancer, which is a serious threat to human health and …