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PRODID:IEEE vTools.Events//EN
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BEGIN:DAYLIGHT
DTSTART:20240310T030000
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DTSTART:20231105T010000
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BEGIN:VEVENT
DTSTAMP:20240117T061629Z
UID:9E59477E-11EF-404A-9F8D-15F0CAD51CA9
DTSTART;TZID=US/Pacific:20240116T190000
DTEND;TZID=US/Pacific:20240116T205900
DESCRIPTION:Free Registration: https://www.eventbrite.com/e/747848493977\n\
 nSynopsis:\n\nThe talk will explore Eigen Decomposition\, PCA\, Kernel PCA
 \, Eigen Faces\, t-SNE\, UMAP\, Manifold Learning\, a taxonomy of dimensio
 nality reduction techniques\, and discuss how the speaker used them for so
 me of his research experiments.\n\nSpeaker(s): Dr. Pendyala \n\nVirtual: h
 ttps://events.vtools.ieee.org/m/381132
LOCATION:Virtual: https://events.vtools.ieee.org/m/381132
ORGANIZER:pendyala@ieee.org
SEQUENCE:8
SUMMARY:Representation Learning in lower dimensions and Spectral methods in
  Machine Learning
URL;VALUE=URI:https://events.vtools.ieee.org/m/381132
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Free Registration: https://www.eventbrite.
 com/e/747848493977&lt;/p&gt;\n&lt;p&gt;&lt;em&gt;&lt;strong&gt;Synopsis:&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;\n&lt;p&gt;&lt;st
 rong&gt;&lt;em&gt;T&lt;/em&gt;&lt;/strong&gt;he talk will explore Eigen Decomposition\, PCA\, K
 ernel PCA\, Eigen Faces\, t-SNE\, UMAP\, Manifold Learning\, a taxonomy of
  dimensionality reduction techniques\, and discuss how the speaker used th
 em for some of his research experiments.&lt;/p&gt;
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