Displaying 204 resources

An introduction to manifolds
This book provides an introduction to the theory of manifolds in an easy readable way. Key concepts of manifolds, angent spaces and Lie group / Lie algebra are presented.
Video Indexing and Retrieval
This lecture overviews Video Indexing and Retrieval that has many applications in video description, search, retrieval and browsing.
Explainable AI
This lecture overviews Explainable AI that has many applications in trustworthy AI systems and autonomous systems.
Music Genre Recognition
This lecture overviews Music Genre Recognition that has many applications in the music industry and in the social/broadcasted media. It covers the following topics in detail: Audio Feature Extraction.
Spectral Signal Analysis
This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis.
LiDAR in Robotics and Autonomous Systems
This lecture overviews LiDAR principles and technology. Active 3D shape reconstruction methods. Time-of-Flight principle. Pulsed wave. Continuous-wave propagation. Laser ToF Technology: LiDAR.
Deep Object Detection
Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.
Geometry
This lecture overviews Geometry that has many applications in Computer Vision and Machine Learning.
Introduction to Video Processing and Analysis
This lecture overviews Video Processing and Analysis that has many applications in digital TV, video streaming, video conferencing and social media, to mention a few applications.
AI, System Complexity, Life, Intelligence and Environment
This lecture overviews the relation between matter and system complexity on one hand and Life, Intelligence and Environment on the other one. First the theoretical tools (systems, graph and network theory) are overviewed.
Image Transforms
This lecture overviews Image Transforms that are instrumental in image filtering, compression and power spectrum estimation.
Neural Semantic 3D World Modeling and Mapping
This lecture overviews neural semantic 3D world modeling and mapping that has many applications in 3D world mapping and in attaching semantics to the world maps It covers the following topics in detail: neural disparity/depth estimation and joi