The paper presents the outcome of an international research project, aimed at identifying and implementing an innovative approach in computer aided aesthetic design. Despite the a...
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
This paper aims to contribute with an understanding of meaningful experiences of photography, to support reflection upon the design of future camera devices. We have conducted a s...
This paper presents a novel metric-based framework for the task of automatic taxonomy induction. The framework incrementally clusters terms based on ontology metric, a score indic...