| Date | Lecture Topics | Suggested Readings | Additional material | |
|---|---|---|---|---|
| Dictionary Learning -> Kernel SVD | Dictionary Learning Algorithms for Sparse Representation [pdf] | |||
| Independent Component Analysis | Tutorial by Hyvarinen [pdf] |
Original paper [pdf] |
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| Factor Analysis | ||||
| Active Appearance Models | Original paper [pdf] |
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| Image processing transforms -> Radon | Radon Transform tutorial [pdf] | |||
| Graphical Models | Pattern Recognition and Machine Learning Chap. 8: [pdf] | |||
| Image Denoising | Linear Inverse Problems [pdf] |
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| Music Retrieval | Music Retrieval: A Tutorial and Review [pdf] |
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| Phase recovery using Bayes nets | ||||
| GMMs/MAP/MLLR for Voice morphing | A Survey of Voice Transformation techniques [pdf] |
Paper by Toda et al. [pdf] | ||
| Sparsity and Sparse Estimation | ||||
| Parafac | Tutorial (Requires more ML background though) [pdf] |