Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
— We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a si...
An adaptive user interface relies, to a large extent, upon an adequate user model (e.g., a representationof user-expertise). However, building a user model may be a tedious and ti...
En-route data compression is fundamental to reduce the power consumed for data gathering in sensor networks. Typical in-network compression schemes involve the distributed computat...
Abstract With the ongoing shift from off-line to on-line business processes, the Web has become an important business platform, and for most companies it is crucial to have an on-...