The algorithms compared in the paper were all "general purpose behavior recognition algorithms."

Besides demonstrating that CUBOIDS outperformed the other algorithms in 3 different domains, how can the authors convince the reader that it is a better algorithm in general (or can they?)--especially when all of the algorithms need hand tuning of parameters.

This is a question which would apply to any study of this type where comparisons are being made to other algorithms.