Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...
In this paper, we discuss the benefits of context prediction for an industrial application in open cast mining. The goal of context prediction is not only to recognize the current...
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...
This paper introduces a doctoral research on open innovation solver's behavior and group factors inducing it. The research is now finishing its first year and exploratory str...