: During software development projects there is always a particular working “product” that is generated but rarely managed: the knowledge and experience that team members acqui...
Recent advances in semantic image analysis have brought forth generic methodologies to support concept learning at large scale. The attained performance however is highly variable,...
Stamatia Dasiopoulou, Ioannis Kompatsiaris, Michae...
This article investigates fundamental issues in scaling autonomous personal robots towards open-ended sets of everyday manipulation tasks which involve high complexity and vague j...
This article proposes a research agenda aimed at enabling optimized testing and analysis processes and tools to support component-based software development communities. We hypoth...
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...