Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Network proximity and latency estimation is an important component in discovering and locating services and applications. With the growing number of services and service providers...
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
A probabilistic system for recognition of individual objects is presented. The objects to recognize are composed of constellations of features, and features from a same object shar...
The research community has turned to create Semantic Overlay Networks for information retrieval in large scale peer-to-peer networks. Much research work in semantic overlay protoc...