This paper explores the potential for annotating and enriching data for low-density languages via the alignment and projection of syntactic structure from parsed data for resource...
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
At-speed testing of GHz processors using external testers may not be technically and economically feasible. Hence, there is an emerging need for low-cost, high-quality self-test m...
Li Chen, Sujit Dey, Pablo Sanchez, Krishna Sekar, ...
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
In this paper, we present a compiler strategy to optimize data accesses in regular array-intensive applications running on embedded multiprocessor environments. Specifically, we p...
Mahmut T. Kandemir, J. Ramanujam, Alok N. Choudhar...