Artificial Intelligence in Practice
Artificial Intelligence fundamentals – problem description – searching etc. Fuzzy Logic, Machine Learning and Pattern Recognition fundamentals. Computer Vision. Neural Networks and Genetic algorithm description – collaborating filtering – SVM – PLA, HMM. Data Mining – big data visualization. AI applications: image understanding, recommendation systems, AI applications to art (artifact analysis, computer games, interactive installations, computer art). Machine hearing fundamentals: generalized sound and music information retrieval techniques. Sound technical descriptors and features definition, extraction, clustering and decision making techniques. Intelligent auditory human-machine interaction based on multimodal information (i.e. emotion). Generic aspects of intelligent digital audio effects.
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