Displaying 263 resources
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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
Article/Books/eBooks Article/Books/eBooks

Speech and Language Processing

Here's our Jan 7, 2023 draft! This draft is mostly a bug-fixing and restructuring release, there are no new chapters.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

Attention and Transformers Networks in Computer Vision

In this lecture focused on Transformers in the field of computer vision, the limitations of Convolutional Neural Networks (CNNs) are emphasized.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

AI Science and Engineering: A new scientific discipline? Lecture

No matter their exact form, AI Science and Engineering and its sister disciplines have many great challenges to address.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Other Other

AUTH UAV Gesture Dataset

AUTH has created the "AUTH UAV Gesture Dataset" in the context of the “AERIAL-CORE” collaborative project, funded from the European Union's Horizon 2020 research and innovation programme.
Category
Data for AI, Systems, methodologies, hardware, and tools, Recommendations towards policy changes
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

What is AI?

The stakes of this lecture are as follows: Can an ordinary person having a high school education and genuine interest understand the basic principles of Artificial Intelligence in just an one-hour lecture?
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand