In this paper, we present a novel, threshold-free robust estimation framework capable of efficiently fitting models to contaminated data. While RANSAC and its many variants have...
Although recent compromises and admissions have given new credibility to claimed encounters of Man-in-the-middle (MitM) attacks on SSL/TLS, very little proof exists in the public r...
Ralph Holz, Thomas Riedmaier, Nils Kammenhuber, Ge...
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
We consider the problem of pipelined filters, where a continuous stream of tuples is processed by a set of commutative filters. Pipelined filters are common in stream applications...
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...