ADR Awareness Centre

The technical report presents popular methods for mapping data into a low-dimensional manifold (nonlinear dimensionality reduction).

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.

Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.

This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis.

This lecture overviews Explainable AI that has many applications in trustworthy AI systems and autonomous systems.

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.

This lecture overviews Image Transforms that are instrumental in image filtering, compression and power spectrum estimation.

This lecture overviews Geometry   that has many applications in Computer Vision and Machine Learning.

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.

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.

This lecture overviews Video Indexing and Retrieval  that has many applications in video description, search,  retrieval and browsing.

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