The present paper proposes a new method for detecting arbitrary faults in a functional circuit when the set of codewords is limited and known in advance. The method is based on im...
During the past decade there have been significant advances in the field of Natural Language Processing (NLP) and, in particular, Information Extraction (IE) [2] which have fueled...
Kiyoshi Sudo, Amit Bagga, Lawrence O'Gorman, Jon L...
This paper presents a new technique for noise removal in images. It benefits both from the recent advances in waveletbased and variational denoising. Whereas wavelet-based analys...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
This paper proposes a methodology to develop countermeasures against code injection attacks, and validates the methodology by working out a specific countermeasure. This methodol...