Sergey Tulyakov

Combination Framework

Four types of combination algorithms are distinguished based on the number of input parameters they consider and the number of trainable combination functions: low , medium I, medium II and high complexity types. Low and medium I type combinations use only matching scores related to one class to calculate the combined score for this class, while medium II and high complexity combinations might use matching scores for other classes as well. Low and medium II combinations have only one trainable combination function; these combinations are class-generic. On the other hand, medium I and high complexity combinations use different combination functions for different classes.

The diagrams below represent these four types. Entries in the lattices are matching scores; columns correspond to scores assigned to one class, and rows correspond to classifiers (thus we consider N classes and M classifiers).

Four complexity types of classifier combinations

Main results:

Relevant Papers: