Ask Your Question

Revision history [back]

click to hide/show revision 1
initial version

Time to train a cascaded classifier?

I have about 600 positive images and 200 negative images from which I need to train a cascaded GentleBoost classifier (using very simple decision stumps as weak classifiers). About 2 thirds of all my images are 60x60, but the big ones are 480 x 320.

I'm going to need to train approximately 500 different classifiers and if possible would like to be doing parallel training.

I haven't started the training yet but I'm really worried as to how much time it might take, should I go for another implementation (like in MatLab)?

I'm on a workstation with 16GB RAM.

Help!

click to hide/show revision 2
retagged

updated 2013-11-11 02:59:33 -0500

berak gravatar image

Time to train a cascaded classifier?

I have about 600 positive images and 200 negative images from which I need to train a cascaded GentleBoost classifier (using very simple decision stumps as weak classifiers). About 2 thirds of all my images are 60x60, but the big ones are 480 x 320.

I'm going to need to train approximately 500 different classifiers and if possible would like to be doing parallel training.

I haven't started the training yet but I'm really worried as to how much time it might take, should I go for another implementation (like in MatLab)?

I'm on a workstation with 16GB RAM.

Help!

Time to train a cascaded classifier?

I have about 600 positive images and 200 1500 negative images from which I need to train a cascaded GentleBoost classifier (using very simple decision stumps as weak classifiers). About 2 thirds of all my images are 60x60, but the big ones are 480 x 320.

I'm going to need to train approximately 500 different classifiers and if possible would like to be doing parallel training.

I haven't started the training yet but I'm really worried as to how much time it might take, should I go for another implementation (like in MatLab)?

I'm on a workstation with 16GB RAM.

Help!