Adding new features to trained classifier (fitcecoc)

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Hi everyone.
I'm designing a Face Recognition System for an hotel. I have a imageSet with photos of a few guests so, if I train a fitcecoc classifier I can recognize them when I give the system one input photo. That's all perfect.
The problem comes when new guests log in. The process would be simple, the recepcionist would take him/her a photo and should add a new entry to the database.
My question is: How can I do for adding a new entry to the 'database' with no need to train again the system (which will be bigger each time)? It's there any way of add new elements to an existant classifier?
I need accuracy, so HOG + fitcecoc is a great solution. But I also need a non slow system.
Excuse my english. And thank you.
My best regards,
Emi.

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