x = (sum of pixel
intensities in the
left
half of the image) - (sum of pixel intensities in the
right half of the
image)
y =
(sum of pixel intensities in the
top
half of the image) - (sum of pixel intensities in the
bottom half of the
image)
Experiment with different parameters C and σ.
Bonus task
In the character classification task find the optimal value of parameter σ of the RBF kernel
using the cross-validation (see labs Parzen windows).
References
[1]
Text of exercise from previous course.
[2]
Lecture slides
[3]
Quadratic programming
[4] Christopher J. C. Burges.
A Tutorial On Support Vector Machines for Pattern Recognition.
Created
by Jan Šochman, last update 18.7.2011