In this paper, we propose a generic and efficient object detection framework based on two heterogeneous features and demonstrate effectiveness of our method for a cat face detecti...
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
We present an adaptive framework for condensation algorithms in the context of human-face tracking. We attack the face tracking problem by making factored sampling more efficient a...
Yui Man Lui, J. Ross Beveridge, L. Darrell Whitley
Abstract—Significant achievements have been made for automated allocation of cloud resources. However, the performance of applications may be poor in peak load periods, unless t...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
Abstract. Applying changes to software engineering processes in organisations usually raises many problems of varying nature. Basing on a real-world 2-year project and a simultaneo...