The term Semantic Web was coined by Tim Berners-Lee to describe his proposal for \a web of meaning," as opposed to the \web of links" that currently exists on the Intern...
This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative examples is highly skewed (e.g. face detection or databa...
Increasingly scientific discoveries are driven by analyses of massively distributed bulk data. This has led to the proliferation of high-end mass storage systems, storage area clu...
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...