We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
We propose a family of models of coordination of distributed object systems representing different views, with refinement relations between the different views. We start with dist...
The preservation of digital objects is a topic of prominent importance for archives and digital libraries. This paper focuses on the problem of preserving the performability of tas...
This paper investigates the benefits of streaming autonomous audio objects over error-prone channels instead of encoded audio frames. Due to the nature of autonomous audio objects...