—Numerical simulation of physical phenomena is now an accepted way of scientific inquiry. However, the field is still evolving, with a profusion of new solution and grid-generati...
Raghu Machiraju, Zhifan Zhu, Bryan Fry, Robert J. ...
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
d abstract) Bartosz Przydatek1 and Reto Strobl2 1 Department of Computer Science, ETH Z¨urich, Switzerland 2 IBM Research, Zurich Research Laboratory, Switzerland In this paper, w...