Displaying 266 resources

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

Shape Description

This lecture overviews Shape Description that has many applications in object recognition and image compression. It covers the following topics in detail: Chain Codes. Polygonal Contour Approximations. Fourier Descriptors. Quadtrees.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Neural SLAM

This lecture overviews Neural SLAM   that has many applications in robotic and autonomous vehicle localization and mapping.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

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

Mathematical Morphology

This lecture overviews Mathematical Morphology  that has many applications in digital image processing, analysis and computer vision.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

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