This work presents an evaluation of the word level precision of an automatic segmentation algorithm, NALIGN. Measurements of the portion of temporal overlap between automatic and manual word level segmentations show that a precision of 90 to 95% can be achieved, partly depending on the type of speech material. These precision figures are furthermore only marginally lower than the gold standard ...

Respiratory dysfunction has been recognized as a cause of morbidity and mortality in patients with Parkinson’s disease (PD) (1-3). Respiratory complications, in particular aspiration pneumonia, are the most common causes of death in these patients (1,2). A variety of respiratory problems such as aspiration pneumonia, respiratory dysrhythmias, which may or may not be associated with L-dopa thera...

The Problem: Modeling highly articulated objects such as people is an extremely difficult problem in computer vision. This work investigates an alternative to the two extremes of using explicit models and using “exemplars.” Rather than fitting an articulated model to a silhouette or treating the silhouettes holistically, this work explains how to derive a sparse basis to represent the observed ...

The Sticker model is one of the most complete models for DNA computation. This model provides a small number of primitive operations that can be combined to form powerful programs. This paper describes a language, compiler and simulator for developing, debugging and evaluating DNA algorithms. The language is based on ANSI C with extensions for modifying test tubes and manipulating DNA bit strin...

In the discounted expected utility model, risk aversion is fully determined by deterministic intertemporal choice. General recursive preferences like KrepsPorteus and Epstein-Zin-Weil preferences resolve this short-coming. These preferences are widely used in finance because they capture the spread between safe and risky returns significantly better than the discounted expected utility model (e...