Software system analysis for extracting system functionality remains as a major problem in the reverse engineering literature and the early approaches mainly rely on static proper...
We propose a novel semantic video summarization framework, which generates video skimmings that guarantee both the balanced content coverage and the visual coherence. First, we co...
In this paper, we review a visual approach and propose it for analysing computer-network activity, which is based on the use of unsupervised connectionist neural network models and...
A model for the co-evolution of patterns and classifiers is presented. The CellNet system for generating binary classifiers is used as a base for experimentation. The CellNet syste...
Taras Kowaliw, Nawwaf N. Kharma, Chris Jensen, Hus...
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...