Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
The relative tolerances for interconnect and device parameter variations have not scaled with feature sizes which have brought about significant performance variability. As we sca...
In this paper, we investigate combinatorialproperties and constructions of two recent topics of cryptographic interest, namely frameproof codes for digital ngerprinting, and trace...
This paper proposes a new clustering algorithm in the fuzzy-c-means family, which is designed to cluster time series and is particularly suited for short time series and those wit...
Many would argue that future breakthroughs in software productivity will dependon our ability to combine existing pieces of software to produce new applications. An important step...