Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
Abstract--Sensor networks can benefit greatly from locationawareness, since it allows information gathered by the sensors to be tied to their physical locations. Ultra-wide bandwid...
Constructing logical machines out of collections of physical machines is a well-known technique for improving the robustness and fault tolerance of distributed systems. We present...
Yair Amir, Brian A. Coan, Jonathan Kirsch, John La...
Multimodal applications require the acquisition and processing of massive amounts of information from multiple sensors. Because this process is beyond the capabilities of a single...
Antoine Fillinger, Lukas Diduch, Imad Hamchi, St&e...
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...