Class 20 - April 12¶
1. Feature Extraction from Handwritten Characters¶
Report 3 (due April 22 -- see last class) involves classifying handwritten characters found in this dataset
As a first step, we need to map the set of images as a set of points in some space. We could consider the pixels as giving the coordinates for the images, but notice that if a character is moved slightly, then the pixels can change significantly. We may instead want to identify coordinates that relate to different aspects, or features, of the images.
Click here for a notebook relating to feature extraction/selection for these images.
2. Support Vector Machines (SVM)¶
Go back to this notebook for the SVM and work on the 2 exercises at the bottom. If you are feeling confident about cross validation, skip right to exercise 2.