We consider the problem of multi-label, supervised image segmentation when an initial
labeling of some pixels is given. In this paper, we propose a new generative image …

We address the problem of classification in partially labeled networks (aka within-network
classification) where observed class labels are sparse. Techniques for statistical relational …

Set expansion refers to expanding a partial set of" seed" objects into a more complete set.
One system that does set expansion is SEAL (set expander for any language), which …

The growing popularity of online social networks gave researchers access to large amount
of network data and renewed interest in methods for automatic community detection …

In this paper we present thread flux (TFlux), a complete system that supports the data-driven
multithreading (DDM) model of execution. TFlux virtualizes any details of the underlying …

Given a collection of complex, time-stamped events, how do we find patterns and
anomalies? Events could be meetings with one or more persons and one or more agenda …

With the rapidly growing evidence that various systems in nature and society can be
modeled as complex networks, community detection in networks becomes a hot research …

Both Content analysis and link analysis have its advantages in measuring relationships
among documents. In this paper, we propose a new method to combine these two methods …

In this paper, we present a graph-based scheme founded on the GCap method of Pan et
al.[12] to perform automatic image annotation. Our approach, namely enhanced GCap …

Relational or semi-structured data is naturally represented by a graph schema, where nodes
denote entities and directed typed edges represent the relations between them. Such …