Abstract. Evaluations of distances or similarity measurements are very important in cooperative problem solving with multiple agents. Distance between problems is used by agents to...
New emerging embedded system platforms in the realm of highthroughput multimedia, imaging, and signal processing will consist of multiple microprocessors and reconfigurable compon...
Todor Stefanov, Claudiu Zissulescu, Alexandru Turj...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...