This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Type systems currently available for imperative languages are too weak to detect a significant class of programming errors. For example, they cannot express the property that a l...
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Abstract. Despite the considerable success of Inductive Logic Programming, deployed ILP systems still have efficiency problems when applied to complex problems. Several techniques ...
Rui Camacho, Nuno A. Fonseca, Ricardo Rocha, V&iac...
This paper describes a system and annotation language, MECA, for checking security rules. MECA is expressive and designed for checking real systems. It provides a variety of pract...
Junfeng Yang, Ted Kremenek, Yichen Xie, Dawson R. ...