ADR Awareness Centre

This lecture overviews 2D Digital Filter Design and Implementation that has many applications in digital image filtering, computer vision (template matching) and convolutional neural networks .

This lecture overviews 2D Systems, as they are the primary tools for many image processing and analysis operations.  It covers the following topics in detail: Two-Dimensional Discrete LTI Systems. 2D convolutions. 2D correlation.

This lecture overviews digital image coordinate systems and their mathematical representations (vectors, matrices). Memory allocation issues are presented.

This lecture overviews spatial image frequency content and image sampling.  Rectangular and hexagonal sampling grids are presented. Sampled image frequency content is analyzed and a 2D version of Shannon theorem is presented.

Combined knowledge from linguistics, psychology, and natural language processing.

“The AI community has been focusing on developing fixes for harmful bias and discrimination, through so-called ‘debiasing algorithms’ that either try to fix data for known or expected biases, or constrain the outcomes of a given predictive model t