Importance Sampling is a potentially powerful variance reduction technique to speed up simulations where the objective depends on the occurrence of rare events. However, it is cru...
In this article we investigate a novel execution paradigm—ML-like pattern-matching— for XML query processing. We show that such a paradigm is well adapted for a common and freq...
Abstract. Hard decisions constitute the major problem in digital watermarking applications, especially when content adaptive embedding methods are used. Soft-decision decoding, on ...
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Despite many years of ubiquitous computing (ubicomp) middleware research, deployment of such systems has not been widespread. We suggest this is in part because we lack a shared mo...