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A novel application of active and online learning to emotion recognition to reduce the amount of annotated images needed, in which we dynamically combine multiple active learning strategies and learn the best ones (without prior knowledge of them).

Testing ARCore for web augmented reality in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

Test application with AR.js using natural features tracking in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

Test application with AR.js using geolocation tracking in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

Test application with AR.js using markers tracking in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

The software to extract features from source code.

(v2)

metaFERA framework and EmoServices web services

Test application with MindAR.js in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

MonteDosCastelinhosWebAR, a Web Augmented Reality application for Monte dos Castelinhos