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  • NotesWeek1 MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    589 B (86 words) - 09:59, 21 March 2013
  • NotesWeek3 MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    498 B (71 words) - 09:59, 21 March 2013
  • NotesWeek4 MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    817 B (125 words) - 10:02, 21 March 2013
  • NotesWeek4Th MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walth
    629 B (93 words) - 10:03, 21 March 2013
  • NotesWeek5Tues MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walth
    761 B (112 words) - 10:04, 21 March 2013
  • Possible discussion group on wednesdays... MA453Fall2008walther
    ...t week. I think Wed. night would be good and I bet we could find an empty lecture hall somewhere on campus. ...or a discussion/study group if anyone wants to get together to go over any notes or homework... Let me know the details if we do this.
    3 KB (534 words) - 12:35, 16 December 2008
  • NotesWeek7Thurs MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    458 B (65 words) - 10:05, 21 March 2013
  • NotesWeek10Tues MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    590 B (88 words) - 10:06, 21 March 2013
  • NotesWeek9Thurs MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    524 B (72 words) - 10:06, 21 March 2013
  • NotesWeek11Thurs MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    547 B (79 words) - 10:07, 21 March 2013
  • NotesWeek12Tues MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    577 B (75 words) - 10:07, 21 March 2013
  • NotesWeek12Thurs MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    343 B (47 words) - 10:08, 21 March 2013
  • NotesWeek13Tues MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    504 B (72 words) - 10:09, 21 March 2013
  • NotesWeek13Thurs MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    512 B (72 words) - 10:09, 21 March 2013
  • NotesWeek15Thurs MA453Fall2008walther
    [[Category:lecture notes]] Lecture notes for [[MA453]]: "Abstract Algebra", Fall 2008, Prof. Walther
    436 B (55 words) - 10:10, 21 March 2013
  • ECE662:BoutinSpring08 Old Kiwi
    ==Class Lecture Notes== * [[Lecture 1 - Introduction_Old Kiwi]]
    6 KB (747 words) - 05:18, 5 April 2013
  • Lecture 17 - Nearest Neighbors Clarification Rule and Metrics Old Kiwi
    =Lecture 17, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    6 KB (938 words) - 08:38, 17 January 2013
  • Lecture 1 - Introduction Old Kiwi
    =Lecture 1, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    3 KB (468 words) - 08:45, 17 January 2013
  • Lecture 2 - Decision Hypersurfaces Old Kiwi
    =Lecture 2, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    5 KB (737 words) - 08:45, 17 January 2013
  • Lecture 3 - Bayes classification Old Kiwi
    =Lecture 3, [[ECE662]]: Decision Theory= Lecture notes for [[ECE662:BoutinSpring08_Old_Kiwi|ECE662 Spring 2008]], Prof. [[user:mbo
    5 KB (843 words) - 08:46, 17 January 2013
  • 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
  • Peer Legacy ECE302
    ...r equation and how different probabilistic situations differ, etc. I found lecture to be very minimalist (at least as far as going through practice problems), ...ecture and taking notes is very important. Studying and understanding the notes and homeworks will help you to grasp this topic and will help you do well o
    10 KB (1,812 words) - 14:00, 16 December 2011
  • ECE302
    [[ECE302_probability_lecture_notes|Lecture Notes]]
    592 B (69 words) - 12:11, 27 March 2015
  • 2009 Elementary Complex Analysis MA 425 Steve Bell
    [http://www.math.purdue.edu/~bell/MA425/Lectures Bell's tablet PC lecture notes]
    1 KB (166 words) - 10:47, 6 December 2009
  • Lecture 9 - Linear Discriminant Functions OldKiwi
    [[Category:lecture notes]] =Lecture 9 Lecture notes=
    9 KB (1,341 words) - 11:15, 10 June 2013
  • Lecture Notes 9-9-09
    Lecture Notes 9/9/2009: Z-1 of Rational Functions and Sampling
    63 B (8 words) - 09:35, 22 September 2009
  • Notes on Discrete Fourier Transform
    =Notes on Discrete Fourier Transform= From [[ECE301|ECE301:"Signals and Systems"]] lecture by [[user:mboutin|Prof. Boutin]], Fall 2009.
    3 KB (640 words) - 13:17, 2 December 2011
  • HWK5MA425Fall2009
    Also Prof Bell, If you do read this could you please post the lecture notes from last class online. The notes are now posted. Sorry about that. --[[User:Bell|Steve Bell]] 21:41, 4 Oct
    1 KB (207 words) - 17:41, 4 October 2009
  • HWK6MA425Fall2009
    Professor Bell, could you post the notes from friday? Thanks. --[[User:Ysuo|Yu Suo]] 16:31, 18 October 2009 (UTC) [http://www.math.purdue.edu/~bell/MA425/Lectures/lec10-16.pdf Lecture 10/16/2009] --[[User:Bell|Steve Bell]]
    2 KB (359 words) - 05:56, 21 October 2009
  • Student summary speech
    [[Category:lecture notes]] ==Post Lecture Speech notes. [[ECE438]], Fall 2009, [[user:mboutin|Prof. Boutin]]==
    5 KB (841 words) - 15:26, 10 April 2013
  • SupplementarySpeech prelecture
    =Supplementary Speech Pre-lecture ([[ECE438]])= Due to a kiwi server fail, my pre-lecture notes are not as substantial as I would have liked
    2 KB (390 words) - 07:46, 14 November 2011
  • 11-09 lecture note
    Partial ECE438 course notes for lecture on 11/09/2009 ...link to the PowerPoint presentation on special 2-D signals and some of the notes on CSFT theory.
    313 B (51 words) - 07:02, 10 November 2009
  • 11-11 lecture note
    Lecture notes for class taught on November 11, 2009.
    226 B (25 words) - 20:03, 11 November 2009
  • SupplementalSpeech prelecture
    ...ure notes are not as substantial as I would have liked See my post-lecture notes for a more detailed description. Notes for speech lecture:
    2 KB (387 words) - 07:47, 14 November 2011
  • Peer Legacy ECE301
    ...to your own advantage. Lastly, if you aren't following the material during lecture, be sure to get help by either attending office hours with your professor o ...s you take notes in the class. Prof. Boumann also posted almost all of the lecture material online which is very helpful. --[[User: hirawa|hirawan]]
    14 KB (2,366 words) - 17:32, 21 April 2013
  • Peer Legacy ECE438
    ...best at digesting mathematical steps "on the spot", be sure to review your notes after class, because if you understand completely the steps behind all of t ...essor Mimi provides all the notes and there are links to other professor's notes who had taught this class earlier.--[[User: apanja|apanja]]
    17 KB (3,004 words) - 08:11, 15 December 2011
  • Peer Legacy ECE311
    ...aterial very detail and give some examples. It you read Dan Jiao's lecture notes carefully, you do not need to read the text book. [[User:Sje|sje]] ...e of the best at teaching. He is extremely patient and very organized. His notes are all well written and the explanations were clear. I went to see the TA
    6 KB (1,072 words) - 16:49, 10 December 2010
  • MA453
    ==Lecture Notes (Prof. Walther-2008)==
    2 KB (233 words) - 13:22, 2 December 2013
  • MA375
    [[MA375_discrete_math_lecture_notes|Lecture Notes]]
    541 B (67 words) - 12:11, 27 March 2015
  • 2010 Spring ECE 662 mboutin
    ==Lecture Summaries== [[Lecture1ECE662S10|Lecture 1]],
    4 KB (547 words) - 12:24, 25 June 2010
  • 1/12/10 Induction
    [[Category:lecture notes]] =[[MA375]]: Lecture Notes=
    4 KB (689 words) - 09:31, 20 May 2013
  • 2010 Spring MA 530 Bell
    [http://www.math.purdue.edu/~bell/MA530/Lectures Bell's tablet PC lecture notes]
    1 KB (201 words) - 12:33, 4 May 2010
  • Star feedbackECE662S2010
    ...[ECE662Sp10_MakeupLectureNotes01|the lecture notes ]] of the first make up lecture
    7 KB (1,009 words) - 11:27, 13 April 2010
  • ECE662Sp10 MakeupLectureNotes01
    ...for [[ 2010 Spring ECE 662 mboutin|ECE662 Spring 2010]] Lecture 21 (Makeup Lecture #1)=
    9 KB (1,536 words) - 07:26, 12 April 2010
  • What is Pattern Recognition OldKiwi
    [[Category:lecture notes]] from [[Lecture_1_-_Introduction_OldKiwi|Lecture 1, ECE662, Spring 2010]]
    3 KB (462 words) - 10:41, 10 June 2013
  • Lecture21ECE662S10
    =Details of Lecture 21, [[ECE662]] Spring 2010= (see [[ECE662Sp10_MakeupLectureNotes01|lecture notes]])
    961 B (135 words) - 08:27, 12 April 2010
  • Support Vector Machines
    *ECE662, Spring 2010, [[User:mboutin|Prof. Boutin]]: Lecture [[Lecture22ECE662S10|22]], [[Lecture23ECE662S10|23]] *ECE662, Spring 2008, [[User:mboutin|Prof. Boutin]]: Lecture [[Lecture_11_-_Fischer's_Linear_Discriminant_again_OldKiwi|11]],[[Lecture_1
    3 KB (416 words) - 10:56, 13 April 2010
  • Feature Extraction
    *ECE662, Spring 2010, Prof. Boutin [[Lecture21ECE662S10|Lecture 21 on Perceptron, Least squares formulation of linear discriminant, and Fis *ECE662, Spring 2010, Prof. Boutin [[Lecture22ECE662S10|Lecture 22 on Fisher linear discriminant]]
    954 B (112 words) - 11:21, 13 April 2010
  • Fisher Linear Discriminant
    *ECE662, Spring 2010, Prof. Boutin [[Lecture21ECE662S10|Lecture 21 on Perceptron, Least squares formulation of linear discriminant, and Fis *ECE662, Spring 2010, Prof. Boutin [[Lecture22ECE662S10|Lecture 22 on Fisher linear discriminant]]
    1 KB (145 words) - 09:58, 16 April 2010
  • Bayes Decision Theory
    *ECE662 Spring 2010, Prof. Boutin [[Lecture4ECE662S10|Lecture 4]] *ECE662 Spring 2010, Prof. Boutin [[Lecture5ECE662S10|Lecture 5]]
    2 KB (222 words) - 09:25, 15 April 2010
  • Artificial Neural Networks
    *ECE662, Spring 2010, Prof. Boutin [[Lecture25ECE662S10|Lecture 25 on SVM and artificial neural networks]] *ECE662, Spring 2010, Prof. Boutin [[Lecture26ECE662S10|Lecture 26 on artificial neural networks]]
    1 KB (146 words) - 10:47, 16 April 2010

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