We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
Analysis of handwritten characters (allographs) plays an important role in forensic document examination. However, so far there lacks a comprehensive and quantitative study on ind...
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
This paper presents an approach for embodying nonfunctional requirements (NFRs) into software architecture using architectural tactics. Architectural tactics are reusable architec...
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...