Displaying 204 resources

Fast 1D Convolution Algorithms

1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs).  As their computational complexity is of the order O(N^2), their fast execution is a must. This lecture will overview
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Video Captioning

This lecture overviews Video Captioning that has many applications in video description, search and retrieval. It covers the following topics in detail: Video captioning definitions and datasets.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

An Introduction to PAC-Bayesian Analysis

This resource corresponds to 9th video from the AI Excellence Lecture Series. PAC-Bayesian Analysis is a framework in machine learning and statistics that combines ideas from the Probably Approximately Correct (PAC) learning framework and Bayesian p
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Autonomous Systems Sensors

This lecture overviews Autonomous Systems Sensors  that has many applications in Autonomous robots, cars, vessels and drones.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

A survey of manifold learning and its applications for multimedia, Hannes Fassold, Proc. ICVSP, 2023

The survey paper gives an introduction into manifold learning and how it is employed for important application fields (similarity search, image classification, synthesis & enhancement, video analysis, 3D data processing, nonlinear dimension reduc
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Deep Semantic Image Segmentation

Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand