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  • Lecture 5 - Discriminant Functions Old Kiwi
    =Lecture 5, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    6 KB (916 words) - 08:47, 17 January 2013
  • Lecture 6 - Discriminant Functions Old Kiwi
    =Lecture 6, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    9 KB (1,586 words) - 08:47, 17 January 2013
  • Lecture 7 - MLE and BPE Old Kiwi
    =Lecture 7, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    10 KB (1,488 words) - 10:16, 20 May 2013
  • Lecture 8 - MLE, BPE and Linear Discriminant Functions Old Kiwi
    =Lecture 8, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    5 KB (792 words) - 08:48, 17 January 2013
  • Lecture 9 - Linear Discriminant Functions Old Kiwi
    =Lecture 9, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    8 KB (1,307 words) - 08:48, 17 January 2013
  • Lecture 10 - Batch Perceptron and Fisher Linear Discriminant Old Kiwi
    =Lecture 10, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    5 KB (755 words) - 08:48, 17 January 2013
  • Lecture 11 - Fischer's Linear Discriminant again Old Kiwi
    =Lecture 11, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    5 KB (907 words) - 08:49, 17 January 2013
  • Lecture 12 - Support Vector Machine and Quadratic Optimization Problem Old Kiwi
    =Lecture 12, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    8 KB (1,235 words) - 08:49, 17 January 2013
  • Lecture 13 - Kernel function for SVMs and ANNs introduction Old Kiwi
    =Lecture 13, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    8 KB (1,354 words) - 08:51, 17 January 2013
  • Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window) Old Kiwi
    =Lecture 14, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    13 KB (2,073 words) - 08:39, 17 January 2013
  • Lecture 15 - Parzen Window Method Old Kiwi
    =Lecture 15, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    7 KB (1,212 words) - 08:38, 17 January 2013
  • Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate Old Kiwi
    [[Category:Lecture Notes]] =Lecture 16, [[ECE662]]: Decision Theory=
    10 KB (1,607 words) - 08:38, 17 January 2013
  • Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued) Old Kiwi
    =Lecture 18, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    6 KB (1,066 words) - 08:40, 17 January 2013
  • ECE662:ChangeLog Old Kiwi
    ...d [[Lecture 3 - Bayes classification_Old Kiwi]] by adding the section on [[Lecture 3 - Bayes classification_Old Kiwi#Bayes_rule|Bayes rule]] equation <3,4,5> * 2008/04/17 -- Added last part of Lecture on 26 [[Statistical Clustering Methods_Old Kiwi]]
    10 KB (1,418 words) - 12:21, 28 April 2008
  • ECE637:BoumanSpring08 Old Kiwi
    Class Lecture Notes for EE637 * Class Lecture Notes for EE637
    646 B (97 words) - 21:22, 1 May 2008
  • Publications Old Kiwi
    ...ation for access control by visual tracking and face recognition", Lecture Notes in Computer Science, Springer, Vol. 1206, pp. 177-183, 1997.''' http://www.stat.psu.edu/~jiali/course/stat597e/notes/mix.pdf
    39 KB (5,715 words) - 10:52, 25 April 2008
  • Lecture 4 - Bayes Classification Old Kiwi
    =Lecture 4, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    8 KB (1,360 words) - 08:46, 17 January 2013
  • Bayes Decision Rule Old Kiwi
    [[Category:lecture notes]] for [[Lecture_6_-_Discriminant_Functions_OldKiwi|Lecture 6, ECE662, Spring 2010]]
    1 KB (172 words) - 11:08, 10 June 2013
  • Lecture 19 - Nearest Neighbor Error Rates Old Kiwi
    =Lecture 19, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    5 KB (1,003 words) - 08:40, 17 January 2013
  • Perceptron Convergence Theorem Old Kiwi
    ...cognition_Decision_Making_Processes_Spring2008_sLecture_collective|lecture notes]]) ...cture_10_-_Batch_Perceptron_and_Fisher_Linear_Discriminant_OldKiwi|Back to Lecture 10]]
    3 KB (446 words) - 06:36, 21 April 2013
  • Lecture 20 - Density Estimation using Series Expansion and Decision Trees Old Kiwi
    =Lecture 20, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    6 KB (1,047 words) - 08:42, 17 January 2013
  • Curse of Dimensionality Old Kiwi
    [[Category:lecture notes]] from [[Lecture_2_-_Decision_Hypersurfaces_OldKiwi|Lecture 2, ECE662, Spring 2010]]
    831 B (120 words) - 10:57, 10 June 2013
  • Lecture 21 - Decision Trees(Continued) Old Kiwi
    =Lecture 21, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    6 KB (1,012 words) - 08:42, 17 January 2013
  • Lecture 22 - Decision Trees and Clustering Old Kiwi
    =Lecture 22, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    6 KB (806 words) - 08:42, 17 January 2013
  • Lecture 23 - Spanning Trees Old Kiwi
    =Lecture 23, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    7 KB (1,060 words) - 08:43, 17 January 2013
  • Lecture 24 - Clustering and Hierarchical Clustering Old Kiwi
    =Lecture 24, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    8 KB (1,254 words) - 08:43, 17 January 2013
  • Lecture 25 - Clustering Algorithms Old Kiwi
    =Lecture 25, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    8 KB (1,259 words) - 08:43, 17 January 2013
  • Lecture 26 - Statistical Clustering Methods Old Kiwi
    =Lecture 26, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    8 KB (1,244 words) - 08:44, 17 January 2013
  • Lecture 27 - Clustering by finding valleys of densities Old Kiwi
    =Lecture 27, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    8 KB (1,337 words) - 08:44, 17 January 2013
  • Lecture 28 - Final lecture Old Kiwi
    =Lecture 28, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    10 KB (1,728 words) - 08:55, 17 January 2013
  • Laplacian Eigenmaps Old Kiwi
    * Spectral Graph Theory and its Applications, Lecture notes from Prof. Dan Spielman at Yale, 2004 [[http://www.cs.yale.edu/homes/spielm
    1 KB (155 words) - 10:49, 28 April 2008
  • ECE301:BoutinFall07 Old Kiwi
    Lecture: Tu, Th 15:00-16:15 @ GRIS180 ==Lecture Notes==
    713 B (91 words) - 22:09, 1 May 2008
  • IdeasForInstructors Old Kiwi
    ...terial. Students in ECE301 Fall 2007 took pictures of the board during the lecture and posted them [https://engineering.purdue.edu/people/mireille.boutin.1/EC
    5 KB (832 words) - 10:36, 25 August 2008
  • ECE302:SanghaviFall08 Old Kiwi
    Lecture: MWF 1:30-2:20PM @ PHYS 203 ==Lecture Notes==
    215 B (25 words) - 09:43, 28 August 2008
  • Course Summary ECE438Fall09mboutin
    ...01/complex.pdf Review of complex numbers from Prof. Pollak's supplementary notes] .... Allebach's lecture notes on [http://dynamo.ecn.purdue.edu/~bouman/ece438/lecture/module_1/1.1_signals/1.1.5_complex_variables.pdf complex variables]
    9 KB (1,237 words) - 09:29, 5 October 2009
  • Lecture 2 - Decision Hypersurfaces OldKiwi
    [[Category:lecture notes]] =Lecture 2 Lecture notes=
    5 KB (744 words) - 11:17, 10 June 2013
  • ECE662:BoutinSpring08 OldKiwi
    ==Class Lecture Notes== * [[Lecture 1 - Introduction_OldKiwi|Lecture 1 - Introduction]]
    7 KB (875 words) - 07:11, 13 February 2012
  • Hw3ECE438F09boutin
    [[Lecture_1%2C_8/24/2009_%28ECE_438_Fall09%29|Lecture 1, 8/24/2009 Notes]] --[[User:Rodrigaa|Rodrigaa]] 13:40, 21 September 2009 (UTC) [[Convergence of Z Transform|Convergence of Z Transform, ECE 438 Notes Sept. 2, 2009]] --[[User:kmhacker|kmhacker]]
    4 KB (543 words) - 07:02, 25 August 2010
  • Lecture 1
    ...y:ECE301]] [[Category:Programming]] [[Category:Matlab]] [[Category:lecture notes]] =Lecture 1, [[ECE301]], Summer 2009, Landis Huffman=
    2 KB (232 words) - 05:30, 11 July 2012
  • Exams/Quizzes
    ...ou will be allowed one 8.5"x11" sheet (front and back) of ''hand-written'' notes. ...all material through lecture on Wednesday, July 8. Thursday and Friday's lecture will review exam material. The topics include
    5 KB (643 words) - 11:55, 6 August 2009
  • MA460 (Fall2009Walther)
    * [http://www.math.purdue.edu/~walther/teach/460/version3.pdf Course Notes] * [[MA460_(Fall2009Walther)_Notes_Discussion|Discussion of the course notes]]
    6 KB (939 words) - 07:58, 8 December 2009
  • Final Cheat Sheet
    * [[HILBERT TRANSFORM - Lecture notes ]] * [[Previous 301 course notes]]
    1 KB (118 words) - 01:11, 30 July 2009
  • ECE301 (BoumanFall2009)
    * Lecture Schedule:MWF 10:30-11:20AM in EE 270 == Lecture Notes ==
    6 KB (785 words) - 06:02, 1 March 2010
  • ECE 438 Fall 2009 mboutin Course Notes
    =Course Notes for [[ECE438_%28BoutinFall2009%29|ECE 438 Fall 2009 Prof. Boutin]]= *[[Lecture_1%2C_8/24/2009_%28ECE_438_Fall09%29|Lecture 1, 8/24/2009]]
    902 B (78 words) - 06:20, 28 October 2013
  • ECE438
    [[ECE438_digital_signal_processing_lecture_notes|Lecture Notes]]
    1,014 B (121 words) - 12:11, 27 March 2015
  • Detailed Course Description
    ===Lecture:=== ...ext. On questions of terminology, definitions, and notation, your lecture notes should be relied upon, not the text.
    7 KB (1,153 words) - 14:06, 24 August 2009
  • Tips for Exam Preparation
    ...nd the posted notes carefully. Make sure that you fully understand all the lecture material.
    646 B (103 words) - 18:16, 11 August 2009
  • ECE662
    == Slectures and Lecture Notes == ...king_Processes_Spring2008_sLecture_collective|Spring 2008, Prof. Boutin]], notes collectively written by the students in the class.
    3 KB (429 words) - 09:07, 11 January 2016
  • Graduate Studies in Mathematics
    ...-Yung Alice Chang (Princeton University) to deliver Jean E. Rubin Memorial Lecture as part of Women in Mathematics Day, 2009]] *[[Town Hall Meeting Fall 2009 Notes]]
    2 KB (227 words) - 11:34, 18 March 2013
  • Test
    ...CE_662_Boutin_Statistical_Pattern_recognition_slectures|ECE662 Spring 2014 lecture]] material of [[User:Mboutin|Prof. Mireille Boutin]]. </font> The materials given in this lecture are based on the lecture notes and the discussions that were shared in Prof. Boutin's ECE662 Spring 2014 c
    17 KB (2,590 words) - 10:45, 22 January 2015

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Alumni Liaison

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

Francisco Blanco-Silva