Hello, Me enjoying Python, and lately interested in this popular ML subject, luckily greatly covered in Python with your package - scikits-learn. I started reading "Machine Learning in Action" which seems to cover ML basics and underlying algorithms, presented there in numpy. Other than that I roughly browsed extensive documentation provided for scikits-learn. However I got an idea and thought to start, but couldn't figure from where and someone here maybe could give me advice.
Here is sample problem: I have cropped part from original image: http://i.imgur.com/nYYNf.png that is part from original image: http://i.imgur.com/j2Lhb.png Problem is, given the cropped part, find if it matches provided arbitrary image while resolution may not be same I thought to extract "certain" feature from cropped part and compare it with one of potential (available) images for match, but I have no ideas where to start, assuming resolution for cropped image may not be the same as original image I expect that you guys may give me advice. I don't search for code samples but pointer in right direction Thanks ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
