Statistical Methods in Image Processing 048926

Spring Semester 2017

Tuesday 14:30-16:30, Meyer 353

Homework Assignments

Homework 1, data (due 25/4)

Homework 2, data (due 3/5)

Homework 3, appendix, data (due 16/5)

Homework 4, data (due 6/6)

Homework 5, data (due 20/6)

Homework Assignments

Final project instructions

Supplemental Presentations

Introduction

Markov random fields

Expectation maximization for Gaussian mixture models

Expected patch log-likelihood

Kernel density estimation

Nonparametric denoising

Nonparametric canonical correlation analysis