In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
The importance of maintaining provenance has been widely recognized, particularly with respect to highly-manipulated data. However, there are few deployed databases that provide p...
Reconstruction of an underwater object from a sequence of images distorted by moving water waves is a challenging task. A new approach is presented in this paper. We attempt to us...
Zhiying Wen, Donald Fraser, Andrew Lambert, Hongdo...
This paper proposes a novel 3D lossy compression algorithm tailored for 3D faces. We analyse the effects of compression on the face verification rate and measure recognition perf...
Lorenzo Granai, Miroslav Hamouz, Jose Rafael Tena,...
With the growing popularity of video sharing web sites and the increasing use of consumer-level video capture devices, new algorithms are needed for intelligent searching and inde...