This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
We present a novel software tool called CDN (Collaborative Data Network) for large-scale sharing and querying of clinical documents modeled using HL7 v3 standard (e.g., Clinical D...
Praveen R. Rao, Tivakar Komara Swami, Deepthi S. R...
Over the last 25+ years, the software community has been searching for the best models for estimating variables of interest (e.g., cost, defects, and fault proneness). However, li...
We recently proposed a new approach to parallelization, by decomposing the time domain, instead of the conventional space domain. This improves latency tolerance, and we demonstrat...