Machine Learning for Visual Data Analysis (Postgraduate/Undergraduate)
The module will cover the following topics: The Discrete Fourier Transform and the frequency content of images. The design and use of Gabor filters. Principal Component Analysis for denoising and compression. Unsupervised classification via feature space clustering. Texture segmentation with Gabor filters.
Research Interests:I am a researcher interested in machine learning applied to sound. This spans the range from automatic recognition of sounds such as birdsong, to creative applications such as human-machine on-stage performance.
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