Displaying 338 resources
Pedestrian Detection
This lecture overviews Pedestrian Detection that has many applications in autonomous car vision and smart city applications.
An Introduction to PAC-Bayesian Analysis
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
Video Description
This lecture overviews that has many applications in broadcasting archives abd video description, search, retrieval and browsing.
Simultaneous Localization and Mapping
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.
Domain Adaptation
This lecture overviews Domain Adaptation that has many applications in DNN training and adaptation.
Road Traffic Monitoring
This lecture overviews Road Traffic Monitoring that has many applications in in autonomous car perception and smart city management.
Autonomous Systems Sensors
This lecture overviews Autonomous Systems Sensors that has many applications in Autonomous robots, cars, vessels and drones.
ECG Signal Analysis
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.
Article/Books/eBooks
Learning to Quantify
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.
Computational Aesthetics
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.
Signal Sampling
This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis. It covers the following topics in detail: Discrete/Continuous Signals, Signal Sampling, Signal Reconstruction, Signal Quantization.
3D Object Localization
This lecture overviews 3D Object Localization that has many applications in robotics and autonomous systems.