Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. Intuitively, the hierarchical structure should influence the labeling accuracy. H...
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
composed of various graphs linked together by relations of abstraction/refinement. The new structure is useful for representing information that can be described at t levels of abs...
Abstract--In the design of distributed quantization systems one inevitably confronts two types of constraints--those imposed by a distributed system's structure and those impo...
The discovery of community structure in a large number of complex networks has attracted lots of interest in recent years. One category of algorithms for detecting community struct...