We present a new unsupervised algorithm for training structured predictors that is discriminative, convex, and avoids the use of EM. The idea is to formulate an unsupervised versi...
Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dal...
Maintaining statistics on multidimensional data distributions is crucial for predicting the run-time and result size of queries and data analysis tasks with acceptable accuracy. To...
We address the problem of performance and power-efficient thread allocation in a CMP. To that end, based on analytical model, we introduce a parameterized performance/power metric ...
Microfluidics-based biochips offer a promising platform for massively parallel DNA analysis, automated drug discovery, and real-time biomolecular recognition. Current techniques f...
During the last years, speed-up techniques for DIJKSTRA’s algorithm have been developed that make the computation of shortest paths a matter of microseconds even on huge road net...
Reinhard Bauer, Gianlorenzo D'Angelo, Daniel Delli...