We present a data structure enabling efficient nearest neighbor (NN) retrieval for bregman divergences. The family of bregman divergences includes many popular dissimilarity measu...
Nearest neighbor query is one of the most important operations in spatial databases and their application domains, e.g., locationbased services, advanced traveler information syst...
We present a tree data structure for fast
nearest neighbor operations in general n-
point metric spaces (where the data set con-
sists of n points). The data structure re-
quir...
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
Michalis Potamias, Francesco Bonchi, Aristides Gio...
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...