Dimensionality reduction is an important preprocessing step in high-dimensional data analysis without losing intrinsic information. The problem of semi-supervised nonlinear dimensi...
Abstract Bloom filters are extensively used in distributed applications, especially in distributed databases and distributed information systems, to reduce network requirements and...
Odysseas Papapetrou, Wolf Siberski, Wolfgang Nejdl
Fast plan adaptation is important in many AI-applications. From a theoretical point of view, in the worst case adapting an existing plan to solve a new problem is no more efficien...
Automatic classification of the aesthetic content of a picture is one of the challenges in the emerging discipline of computational aesthetics. Any suitable solution must cope wit...
In managing and troubleshooting home networks, one of the challenges is in knowing what is actually happening. Availability of a record of events that occurred on the home network...
Kenneth L. Calvert, W. Keith Edwards, Nick Feamste...