This paper describes a domain independent approach to the use of genetic programming for object detection problems. Rather than using raw pixels or high level domain specific feat...
Abstract. Inspired by P systems initiated by Gheorghe P˜aun, we study a computation model over a multiset of communicating objects. The objects in our model are instances of fini...
Advances in object detection have made it possible to
collect large databases of certain objects. In this paper we
exploit these datasets for within-object classification. For
e...
Jania Aghajanian, Jonathan Warrell, Simon J.D. Pri...
Abstract. This paper presents an approach to object discovery in a given unlabeled image set, based on mining repetitive spatial configurations of image contours. Contours that si...
Back-in-time debuggers are extremely useful tools for identifying the causes of bugs. Unfortunately the "omniscient" approaches that try to remember all previous states a...