Model-based methods for sequential organization in cochannel speech require pretrained speaker models and often prior knowledge of participating speakers. We propose an unsupervis...
This paper describes a novel Bayesian approach to unsupervised topic segmentation. Unsupervised systems for this task are driven by lexical cohesion: the tendency of wellformed se...
Abstract. In this paper we propose a Particle Filter-based approach for the segmentation of coronary arteries. To this end, successive planes of the vessel are modeled as unknown s...
Abstract. We present the FocusCheck model-checking tool for the verification and easy debugging of assertion violations in sequential C programs. The main functionalities of the t...
Curtis W. Keller, Diptikalyan Saha, Samik Basu, Sc...
Modeling term dependence has been shown to have a significant positive impact on retrieval. Current models, however, use sequential term dependencies, leading to an increased que...