MATH 521 - Matrix Method in Data Analysis and Pattern Recognition

(3 units)

Prerequisite: MATH 423 or MATH 576.
Vector spaces and linear transformations, optimal orthogonal projections, eigenvalues, eigenvectors, SVD, generalized SVD, Fourier and wavelet transforms, convolution, tangent distance. Implementations include object recognition, handwritten digit classification, digital image processing, feature extraction, image deblurring, and text mining.

Letter grade only (A-F). (Lecture 3 hours)