Displaying 283 resources
Human Visual System
This lecture overviews the Human Visual System that has many applications in understanding image perception and image quality issues. It covers the following topics in detail: Human Visual System (eyes and visual pathway, stereo vision).
NLP and Text Sentiment Analysis
This lecture overviews Natural Language Processing (NLP) and Text Sentiment Analysis that has many applications in Text Analytics, Opinion extraction, Opinion mining, Sentiment mining, Subjectivity analysis.
Immersion in Virtual Reality
This lecture overviews Immersion in Virtual Reality that has many applications in virtual presence and immersion. It covers the following topics in detail: Basic Concepts and Definitions.
Camera Geometry
After a brief introduction to image acquisition and light reflection, the building blocks of modern cameras will be surveyed, along with geometric camera modelling.
The Silent (R)evolution of SAT
The Propositional Satisfiability problem (SAT) was the first to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness.
Agent Systems
This lecture overviews Agent Systems that has many applications in multi-party behavior modeling.
Drone Mission Simulations
This lecture overviews various drone mission simulator architectures, notably AirSim and Gazebo.
Natural Language Processing
This lecture overviews Natural Language Processing (NLP) that has many applications in text analytics, Linguistics, Machine translation and sentiment analysis.
Autonomous Underwater Vessels
This lecture overviews Autonomous Underwater Vessels that has many applications in ocean engineering. It covers the following topics in detail: AUV technologies, sensors, communications, applications.
Set Theory
This lecture overviews Set Theory that has many applications in Probability/Statistics, Machine Learning and Computer Vision.
Introduction to Machine Learning
This lecture will cover the basic concepts of Machine Learning to alleviate inconsistencies towards concept and notation accuracy. Supervised, self-supervised, unsupervised, semi-supervised learning. Multi-task Machine Learning.
Autonomous Surface Vessels
Autonomous marine vessels can be described as surface (boats, ships) and underwater ones (submarines).