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A Path- and Label-cost Propagation Approach to speedup the Training of the Opti...

In general, pattern recognition techniques require a high computational burden for learning the discriminating functions that are responsible to separate samples from distinct classes. As such, there are several studies that make effort to employ machine learning algorithms in the context of "big data" classification problems. The research on this area ranges from Graphics Processing Units-based implementations...