Data-driven haptic rendering requires processing of raw recorded signals, which leads to high computational effort for large datasets. To achieve real-time performance, one possib...
Fault tolerance is a constant concern in data centers where servers have to run with a minimal level of failures. Changes on the operating conditions or on server demands, and var...
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
: This paper introduces a tailored procedure model to construct reference models by using rich empirical data. The procedure model has been built based on requirements from the pub...
Deterministic parsing guided by treebankinduced classifiers has emerged as a simple and efficient alternative to more complex models for data-driven parsing. We present a systemat...