Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...
With the advancement of computer graphics in the recent years, an increasing number of pictures, video and 3D content is generated by synthesis processing rather than acquired wit...
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
Michael Jamieson, Afsaneh Fazly, Suzanne Stevenson...
Wide-area service replication is becoming increasingly common, with the emergence of new operational models such as content delivery networks and computational grids. This paper d...
Bogdan C. Popescu, Bruno Crispo, Andrew S. Tanenba...
Abstract— This paper examines the performance characteristics of both asynchronous and synchronous parallel particle swarm optimisation algorithms in heterogeneous, fault-prone e...
Ian Scriven, David Ireland, Andrew Lewis, Sanaz Mo...