On Mon, Apr 22, 2013 at 4:19 PM, Anand Dhandhania <[email protected]> wrote: > The process i would like to follow is :- > 1) Train a neural network for the image data. We will be using only neural > nets to make an approximation i.e we will take few most possible results > from neural network model. > 2) Algorithms like Hamming distance calculation will be implemented for only > these results (from neural nets). We will find the best match using the > hamming distance and other (k-means clustering) algorithms. > > This is what i have thought. I am currently working on finding the results > for hand-written feature classification using Gaussian Mixture Models. We > are surely gonna implement, what's best suited for the data. >
Seems great for a start. Thanks for your replies. A small question regarding to extension of your project (asking out of personal interest):- Whom have you thought of targeting as end users when a working model is developed? Regards, -- Bhavani Shankar Ubuntu Developer | www.ubuntu.com https://launchpad.net/~bhavi _______________________________________________ Project-ideas mailing list [email protected] http://lists.ankur.org.in/listinfo.cgi/project-ideas-ankur.org.in
