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Introduction to Computer Vision

A detailed introduction to computer vision will be made: image/video sampling, Image and video acquisition, Camera geometry, Stereo and Multiview imaging, Structure from motion, Structure from X, 3D Robot Localization and Mapping, Semantic 3D worl

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Case studies Case studies
White paper White paper

Socially Informed ML Practices

A series of three posts on “Is data fixable? On the need of socially-informed practices in ML research and education”.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

Introduction to Tropical Geometry and its Applications to Machine Learning

Tropical geometry is a relatively recent field in mathematics and computer science combining elements of algebraic geometry and polyhedral geometry.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Symbolic, Statistical, and Causal Representations

In machine learning, we use data to automatically find dependencies in the world, with the goal of predicting future observations.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Image Typology

This lecture overviews various digital image types: 2D images, 3D images (videos, medical volumes, hyperspectral images). Multichannel images, e.g., colour and multispectral images come next. RGBD images and graphics texture images.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Image Sampling

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.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand