Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Abstract. As the UML attempts to make the transition from a single, albeit extensible, language to a framework for a family of languages, the nature and form of the underlying meta...
We present a formal model of memory that both captures the lowlevel features of C's pointers and memory, and that forms the basis for an expressive implementation of separati...