Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
It is widely recognized that today's Internet traffic is mostly carried by a relatively small number of elephant flows while mice flows constitute up to 80% of all active flow...
Recently a large amount of research has been devoted to
automatic activity analysis. Typically, activities have been
defined by their motion characteristics and represented by
t...
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Active probes of network performance represent samples of the underlying performance of a system. Some effort has gone into considering appropriate sampling patterns for such probe...