Date 2007-04-16

There are several places on the web with intereting ML videos, from research talks or from classes.

O. Bousquet has made a list. Y. Bulatov points to

M. Wainwright class notes with videos the PASCAL network repository now located on a more general academic website: videolectures.net Some recent Google TechTalks

  • Hierarchial Dirichlet Processes — M. Jordan. “Introduction” to the non parametric Dirichlet process model. video
  • Learning Object Appearance Models via Transformed Dirichlet Processes — E. Sudderth. Using Dirichlet for vision. video
  • Smoothed-Dirichlet Distribution: A New Generation Building Block — R. Nallapati. Improving the Dirichlet-Compound-Multinomial model. video
  • Probabilistic Dimensional Reduction with Gaussian Process Latent Variable Model — Neil Lawrence. Nice matlab demos. video
  • Sparse and large-scale learning with heterogeneous data — G. Lanckriet. Dealing with massive and structered data. video
  • Using Statistics to Search and Annotate Pictures — N. Vasconcelos. Image indexing and retrieval. video
  • Learning and Recognizing Visual Object Categories. Vision without feature extraction. Patches are coming back! video

It seems to me that infinite models are a hot topic in the bayesian learning community. By infinite, I mean mainly gaussian processes and dirichlet processes. This last video isn’t related with machine learning but still worth alot watching Gapminder.org