Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
In heterogeneous network environments, the network connections of a multi-homed device may have significant bandwidth differential. For a multihomed transmission protocol designed ...
Yuansong Qiao, Enda Fallon, John Murphy, Liam Murp...
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...
Major research challenges in discovering Web services include, provisioning of services across multiple or heterogeneous registries, differentiating between services that share si...
An unsupervised clustering of the webpages on a website is a primary requirement for most wrapper induction and automated data extraction methods. Since page content can vary dras...