Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
For each computer system generation, there are always applications or workloads for which the main memory size is the major limitation. On the other hand, in many cases, one could...
Researchers in transactional memory (TM) have proposed open nesting as a methodology for increasing the concurrency of transactional programs. The idea is to ignore "low-leve...
Overlapping communication with computation is an important optimization on current cluster architectures; its importance is likely to increase as the doubling of processing power ...
Wei-Yu Chen, Dan Bonachea, Costin Iancu, Katherine...