Displaying 302 resources
Statistical Detection
This lecture overviews Statistical Detection that has many applications in Machine Learning, Signal Analysis and Statistical Communications.
Self-Awareness in Autonomous Systems
This lecture overviews Self-Awareness that has many applications in in Autonomous Systems and robotics. It covers the following topics in detail: Self-awareness definition, Self-aware systems, Cognitive architecture.
3D Image Registration
This lecture overviews 3D Image Registration that has many applications in computer vision, and 3D medical imaging. It covers the following topics in detail: 2D and 3D rotations and translations, ICP algorithm, SVD 3D Point Cloud Registration.
Algorithms for manifold learning
The technical report presents popular methods for mapping data into a low-dimensional manifold (nonlinear dimensionality reduction).
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.
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.
Spectral Signal Analysis
This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis.
Explainable AI
This lecture overviews Explainable AI that has many applications in trustworthy AI systems and autonomous systems.

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.
Image Transforms
This lecture overviews Image Transforms that are instrumental in image filtering, compression and power spectrum estimation.
Geometry
This lecture overviews Geometry that has many applications in Computer Vision and Machine Learning.
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.