Displaying 302 resources

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

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

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

Multiple Drone Communications

This lecture overviews various concepts related to multiple drone communications: LTE and WiFi communications, LTE communication infrastructure, IP network issues, Security analysis, throughput, latency and quality-of-service issues.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Kernel methods

This lecture overviews Kernel Methods that have many applications in classification and clustering. It covers the following topics in detail: Kernel Trick. Kernel Matrix. Kernel PCA. Kernel correlation and its use in object tracking. Kernel k-means.
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