Browse Hierarchy ECS797U: Machine Learning for Visual Data Analysis

Back to EM-EECS-COMP: Department of Computer Science
The module will cover the following topics: The Discrete Fourier Transform and the frequency content of images. The design and use of Gabor filters. Principal Component Analysis for denoising and compression. Unsupervised classification via feature space clustering. Texture segmentation with Gabor filters.

Sorry, there are no lists here yet. You could try:

  • Clicking My Lists from the menu. Your course enrolled lists are stored here.
  • Searching for the list using the form below:

Lists linked to Machine Learning for Visual Data Analysis

There are currently no lists linked to this Module.