Particle Swarm Optimisation (PSO) algorithm is a stochastic search technique, which has
exhibited good performance across a wide range of applications. However, very often for …

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 …

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 …

Cache-based side-channel attacks (SCAs) are becoming a security threat to the emerging
computing platforms. To mitigate these attacks, numerous countermeasures have been …

With increasing digital information availability, semantic web technologies have been
employed to construct semantic digital libraries in order to ease information comprehension …

Building upon the recent successes in the application of information-theoretic concepts (eg
Shannon entropy) in quantitative ultrasound, the authors propose a novel tissue …

A compression-based similarity measure assesses the similarity between two objects using
the number of bits needed to describe one of them when a description of the other is …

We propose, implement and test a new CAPTCHA, called Adamas, which offers resistance
against pre-processing and various forms of segmentation and recognition attacks. The multi …

Visual spoofing has become a serious web security problem. The dramatic growth of using
Unicode characters on the web has introduced new types of visual attacks. The main source …

Dictionaries have recently attracted a great deal of interest as a new powerful representation
scheme that can describe the visual content of an image. Most existing approaches …