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RaviSoji / plda

Probabilistic Linear Discriminant Analysis & classification, written in Python.
https://ravisoji.com
Apache License 2.0
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Did you test it on face recognition? #45

Closed IrvingShu closed 6 years ago

IrvingShu commented 6 years ago

Expected Behavior

Actual Behavior

Steps to Reproduce the Behavior

RaviSoji commented 6 years ago

You can find the results for facial recognition on p. 539, Fig. 4 of the paper.

For me, the use cases were emotion, handwriting, and object recognition, where I was getting about ~35%, ~85%, and ~85% accuracy on cross validation tests with about 6-10 classes. If you are working with more classes, it might be wise to start with Fig. 4 of the paper to get a feel for how the recognition error scales.

Good luck!

IrvingShu commented 6 years ago

Thanks for your answer. I'm working on combining CNN with JointBayers or PLDA, Did you try it with CNN feature?

RaviSoji commented 6 years ago

Not yet, but it is on my to-do list! If you end up going into the PLDA + CNN features direction, I'd be interested in any lessons you pick up along the way!

RaviSoji commented 6 years ago

I am going to close this issue for now, but feel free to make a new one if you have updates or questions. You can also get in touch with me via my website.