ADR Awareness Centre

This resource corresponds to 9th video from the AI Excellence Lecture Series. PAC-Bayesian Analysis is a framework in machine learning and statistics that combines ideas from the Probably Approximately Correct (PAC) learning framework and Bayesian p

This lecture overviews Blockchain Technology that has many applications in Cryptocurrencies, Identity Management and Biometrics. It covers the following topics in detail: Introduction to Cryptography, Blockchain and Blockchain Consensus Algorithms.

This lecture overviews that has many applications in broadcasting archives abd video description, search, retrieval and browsing.

The lecture includes the essential knowledge about how we obtain/get 2D and/or 3D maps that robots/drones need, taking measurements that allow them to perceive their environment with appropriate sensors.

This lecture overviews Domain Adaptation that has many applications in DNN training and adaptation.

This lecture overviews Road Traffic Monitoring that has many applications in in autonomous car perception and smart city management.

This lecture overviews Autonomous Systems Sensors  that has many applications in Autonomous robots, cars, vessels and drones.

This lecture overviews ECG Signal Analysis as well as other cardiology imaging methods that has many applications in cardiological disorder diagnosis and treatment. It covers the following topics in detail: Background nnowledge of ECG Signals.

This lecture overviews the use of drones for infrastructure inspection and maintenance. Various types of inspection, e.g., using visual cameras, LIDAR or thermal cameras are reviewed. Primary application area is electric line inspection.

This lecture overviews Visual Speech Recognition that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics.

This book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), the task of training, by means of supervised learning, estimators of class proportions in unlabelled data.

This lecture overviews Computational Aesthetics  that has many applications in visual arts and computer graphics. It covers the following topics in detail: Neuroaesthetics. Computational Aesthetics. Critical problems in aesthetics.