Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
This article concentrates on a quality assessment for H.264 coded low-rate and low-resolution video sequences which are in particular of interest for mobile communication. The cho...
Olivia Nemethova, Michal Ries, Markus Rupp, Eduard...
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Communication misses--those serviced by dirty data in remote caches--are a pressing performance limiter in shared-memory multiprocessors. Recent research has indicated that tempor...
Nowadays, classical conceptual models (such as ER or UML) are used for designing database applications. These classical conceptual models usually come with associated CASE tools a...
Mohammed Minout, Christine Parent, Esteban Zim&aac...