Revision as of 12:33, 6 March 2012 by Mboutin (Talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)


Lecture 16 Blog, ECE662 Spring 2012, Prof. Boutin

Thursday March 1, 2012 (Week 8)


Quick link to lecture blogs: 1|2|3|4|5|6|7|8| 9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30


Today we began discussing non-parametric density estimation techniques. More precisely, we obtained a formula (in terms of the numbers of sample points that fall within a certain region, the volume of that region, and the total number of samples) for estimating the probability density function at a point x of the feature space.


Previous: Lecture 15

Next: Lecture 17


Comments

Please write your comments and questions below.

  • Write a comment here
  • Write another comment here.

Back to ECE662 Spring 2012

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva