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<div style="border-style: solid; border-color: rgb(68, 68, 136) rgb(68, 68, 136) rgb(68, 68, 136) rgb(51, 51, 136); border-width: 1px 1px 1px 4px; margin: auto; padding: 2em; background: rgb(238, 238, 255) none repeat scroll 0% 0%; -moz-background-clip: -moz-initial; -moz-background-origin: -moz-initial; -moz-background-inline-policy: -moz-initial; width: 30em; text-align: center;">
 
Message Area:
 
Message Area:
 +
 
If you are interested in robotics and vision, there is a new course for you next Fall: [[2010_Fall_IE_590_Wachs| IE 590 "Robotics and Machine Vision"]]
 
If you are interested in robotics and vision, there is a new course for you next Fall: [[2010_Fall_IE_590_Wachs| IE 590 "Robotics and Machine Vision"]]
 
</div>  
 
</div>  
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*[[OutlineECE662S10|Course Outline]]  
 
*[[OutlineECE662S10|Course Outline]]  
 
*Class cancellation: Jan 19, Jan 21, Feb 23, Feb 25  
 
*Class cancellation: Jan 19, Jan 21, Feb 23, Feb 25  
*Make up classes: Friday April 9, 16, 23, 1:30-2:30, EE117.
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*Make up classes: Friday April 9, 16, 23, 30, 1:30-2:30, EE117.
  
==Lectures in more Details==
+
==Lecture Summaries==
*[[Lecture1ECE662S10|Lecture 1]]
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[[Lecture1ECE662S10|Lecture 1]],
*[[Lecture2ECE662S10|Lecture 2]]
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[[Lecture2ECE662S10|2]],
*[[Lecture3ECE662S10|Lecture 3]]
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[[Lecture3ECE662S10|3]]
*[[Lecture4ECE662S10|Lecture 4]]
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,[[Lecture4ECE662S10|4]]
*[[Lecture5ECE662S10|Lecture 5]]
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,[[Lecture5ECE662S10|5]]
*[[Lecture6ECE662S10|Lecture 6]]
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,[[Lecture6ECE662S10|6]]
*[[Lecture7ECE662S10|Lecture 7]]
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,[[Lecture7ECE662S10|7]]
*[[Lecture8ECE662S10|Lecture 8]]
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,[[Lecture8ECE662S10|8]]
*[[Lecture9ECE662S10|Lecture 9]]
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,[[Lecture9ECE662S10|9]]
*[[Lecture10ECE662S10|Lecture 10]]
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,[[Lecture10ECE662S10|10]]
*[[Lecture11ECE662S10|Lecture 11]]
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,[[Lecture11ECE662S10|11]]
*[[Lecture12ECE662S10|Lecture 12]]
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,[[Lecture12ECE662S10|12]]
*[[Lecture13ECE662S10|Lecture 13]]
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,[[Lecture13ECE662S10|13]]
*[[Lecture14ECE662S10|Lecture 14]]
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,[[Lecture14ECE662S10|14]]
*[[Lecture15ECE662S10|Lecture 15]]
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,[[Lecture15ECE662S10|15]]
*[[Lecture16ECE662S10|Lecture 16]]
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,[[Lecture16ECE662S10|16]]
*[[Lecture17ECE662S10|Lecture 17]]
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,[[Lecture17ECE662S10|17]]
*[[Lecture18ECE662S10|Lecture 18]]
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,[[Lecture18ECE662S10|18]]
*[[Lecture19ECE662S10|Lecture 19]]
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,[[Lecture19ECE662S10|19]]
*[[Lecture20ECE662S10|Lecture 20]]
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,[[Lecture20ECE662S10|20]]
*[[Lecture21ECE662S10|Lecture 21]]
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,[[Lecture21ECE662S10|21]]
*[[Lecture22ECE662S10|Lecture 22]]
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,[[Lecture22ECE662S10|22]]
*[[Lecture23ECE662S10|Lecture 23]]
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,[[Lecture23ECE662S10|23]]
*[[Lecture24ECE662S10|Lecture 24]]
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,[[Lecture24ECE662S10|24]]
*[[Lecture25ECE662S10|Lecture 25]]
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,[[Lecture25ECE662S10|25]]
*[[Lecture26ECE662S10|Lecture 26]]
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,[[Lecture26ECE662S10|26]]
*[[Lecture27ECE662S10|Lecture 27]]
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,[[Lecture27ECE662S10|27]]
*[[Lecture28ECE662S10|Lecture 28]]
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,[[Lecture28ECE662S10|28]]
*[[Lecture29ECE662S10|Lecture 29]]
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,[[Lecture29ECE662S10|29]].
*[[Lecture30ECE662S10|Lecture 30]]
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== Links and Material Used in Class ==
 
== Links and Material Used in Class ==
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*[[Bayes_Rate_Fallacy:_Bayes_Rules_under_Severe_Class_Imbalance|Bayes rule under severe class imbalance]]
 
*[[Bayes_Rate_Fallacy:_Bayes_Rules_under_Severe_Class_Imbalance|Bayes rule under severe class imbalance]]
 
*[[Fisher_discriminant_under_nonlinear_data|Fisher linear discriminant in non linearly separable data]]
 
*[[Fisher_discriminant_under_nonlinear_data|Fisher linear discriminant in non linearly separable data]]
 +
*[[One_class_svm|One-Class Support Vector Machines for Anomaly Detection]]
 +
*[[EE662Sp10_HiddenMarkovModel|Intro to Hidden Markov Model]]
 +
*[[ANN_Simulink_examples_ece662_Sp2010|ANN Jump Start: Using MATLAB Simulink to train a network]]
 +
 
== Feedback  ==
 
== Feedback  ==
  
 
*[[Star feedbackECE662S2010|Stars for Rhea participation]] <span style="text-decoration: blink;"> New! </span>
 
*[[Star feedbackECE662S2010|Stars for Rhea participation]] <span style="text-decoration: blink;"> New! </span>
 +
*[[FavoritedecisionECE662S10|Student Poll: What is your favorite decision method?]]
  
 
== Homework ==
 
== Homework ==
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== Class Notes ==
 
== Class Notes ==
 
 
*[[ECE662Sp10_MakeupLectureNotes01|Makeup Lecture #1, 9 April 2010]]
 
*[[ECE662Sp10_MakeupLectureNotes01|Makeup Lecture #1, 9 April 2010]]
 
+
*[[Noteslecture8ECE662S10|Lecture 8]]
 +
*[[Noteslecture11ECE662S10|Lecture 11]]
 +
*[[Noteslecture20ECE662S10|Lecture 20, Thursday April 8, 2010]]
 
----
 
----
  

Latest revision as of 12:24, 25 June 2010



ECE662: "Statistical Pattern Recognition and Decision Making Processes", Spring 2010

Message Area:

If you are interested in robotics and vision, there is a new course for you next Fall: IE 590 "Robotics and Machine Vision"

General Course Information

  • Instructor: Prof. Boutin a.k.a. Prof. Mimi
  • Office: MSEE342
  • Email: mboutin at purdue dot you know where
  • Class meets Tu,Th 12-13:15 in EE115
  • Office hours are listed here
  • Syllabus
  • Course Outline
  • Class cancellation: Jan 19, Jan 21, Feb 23, Feb 25
  • Make up classes: Friday April 9, 16, 23, 30, 1:30-2:30, EE117.

Lecture Summaries

Lecture 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.

Links and Material Used in Class

Discussions and Students' perspectives

Feedback

Homework

References

Class Notes


Back to course list

Alumni Liaison

EISL lab graduate

Mu Qiao