In the past eight years, more than 60 research groups have sent the results of
their algorithms against the benchmark for Learned - Miller to post on the Labeled Faces site.
Not exact matches
Once they've trained their
algorithms, researchers often test them
against publicly available
benchmarks.
Then we will
benchmark our effort and anyone else who submits their
algorithm against independently derived
benchmarks.
I have questions about the use of change point
algorithms that have not been answered to my satisfaction to date and I have a great deal of interest in the
benchmarking of these various
algorithms by testing
against realistic simulated data where the truth is known.