Recently, a lot of research has been conducted into the usefulness of gait for identification at a distance. Since the gait of a person is readily identified when extracted from...
Abstract. This paper presents a novel and efficient method for locating deformable shapes in cluttered scenes. The shapes to be detected may undergo arbitrary translational and rot...
This paper presents a secure and flexible Mix-net that has the following properties; it efficiently handles long plaintexts that exceed the modulus size of underlying public-key e...
In this paper, we propose novel image-derived features for image indexing and retrieval in digital library applications. The new features capture the intrinsic geometry and color ...
A novel random text generation model is introduced. Unlike in previous random text models, that mainly aim at producing a Zipfian distribution of word frequencies, our model also ...