Applications of Latent Variable Methods

From Latent Variable Methods in Engineering
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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)

<pdfreflow> class_date = 21 October 2011 [3.6 Mb] button_label = Create my projector slides! show_page_layout = 1 show_frame_option = 1 pdf_file = lvm-class-7.pdf </pdfreflow> or you may download the class slides directly.

Please download and bring the following data sets to class:


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

<pdfreflow> class_date = 28 October 2011 [1.3 Mb] button_label = Create my projector slides! show_page_layout = 1 show_frame_option = 1 pdf_file = lvm-class-8.pdf </pdfreflow> or you may download the class slides directly.


Please download and bring the following data sets to class:

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)

See the Dealing with image data section.


Class 10: Classification (11 November)

<pdfreflow> class_date = 11 November 2011 [11.4 Mb] button_label = Create my projector slides! show_page_layout = 1 show_frame_option = 1 pdf_file = lvm-class-10.pdf </pdfreflow> or you may download the class slides directly.

Also download and bring the following data set to class: