Computational Perception Group
home | members | publications | directions | research | presentations | teaching | vacancies | personal  | Machine Perception Statistical models for audio and video Theoretical understanding of learning algorithms as probabilistic inference |  | Machine Vision Learning invariances from natural images for object recognition Statistical models for images | ||
 | Machine Hearing Synthesis of audio textures for computer games and artificial environments Source separation |  | Neuroscience Auditory processing as probabilistic inference Neural implementations of approximate inference | ||
 | Machine Learning Approximate inference for time-series Circular statistics and time-series |  | Signal Processing Unifying signal processing and machine learning Removing signal distortions using machine learning & signal processing |
If you want to find out more about the core technical material that is relevant to the Group's reseach, please see the Group's recommended reading list.
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