Applications of Latent Variable Methods

Class date(s):	Various dates
Video material (part 1) Download video: Link (plays in Google Chrome) [143 Mb]
Video material(part 2) Download video: Link (plays in Google Chrome) [178 Mb]
Video material (part 3) Download video: Link (plays in Google Chrome) [251 Mb]
Video material (part 4) Download video: Link (plays in Google Chrome) [318 Mb]
Video material (part 5) Download video: Link (plays in Google Chrome) [187 Mb]
Video material (part 6) Download video: Link (plays in Google Chrome) [205 Mb]
Video material (part 7) Download video: Link (plays in Google Chrome) [293 Mb]
Video material (part 8) Download video: Link (plays in Google Chrome) [299 Mb]

Class 7: soft sensors (21 October 2011)

Download the class slides directly.

Please download and bring the following data sets to class:

• Sawdust: http://openmv.net/info/sawdust
• Distillation tower: http://openmv.net/info/distillation-tower

Class 8: advanced preprocessing, empirical models, adaptive models (21 October 2011)

Download the class slides directly.

Please download and bring the following data sets to class:

• Kamyr digester: http://openmv.net/info/kamyr-digester

Note: the first few slides are similar to last week's slides that we didn't cover in class.

Class 9: Dealing with image data (04 November 2011)

See the Dealing with image data section.

Class 10: Classification (11 November 2011)

Download the class slides directly.

Also download and bring the following data set to class:

• Olive oil