ИСТИНА

Metric extraction is way way to derive new better similarity functions from original ones. We propose a new supervised method to train new derived metric. The main characteristic of the optimization problem is the fact that there is always an admissible solution, hence we do not need to introduce slack variables and the problem size remains small.