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]

  Factor Analysis
  Active Appearance Models Original paper

[pdf]

 
  Image processing transforms -> Radon Radon Transform tutorial [pdf]  
  Graphical Models Pattern Recognition and Machine Learning Chap. 8: [pdf]  
  Image Denoising   Linear Inverse Problems

[pdf]

  Music Retrieval Music Retrieval: A Tutorial and Review

[pdf]

 
  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]