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ECEN 649-600, Spring 2012
Pattern Recognition

Class Schedule

W D References Slides Topic
1 01/17   Introduction Introduction to Pattern Recognition
01/19   Probability Probability Review
2 01/24     Probability Review
01/26     Probability Review
3 01/31 DHS 1.2, 2.1, 2.7; DGL 2.1, 2.4 Bayes Optimal Classification
02/02 DHS 2.2-2.4; DGL 2.2-2.3   Optimal Classification
4 02/07 DHS 2.6   Optimal Classification
02/09 DGL 3.1-3.5; DHS 2.8.1,2.8.2   Optimal Classification
5 02/14 DGL 3.6-3.8   Optimal Classification
02/16 DGL 6.1 Classification Rules Classification Rules
6 02/21 DGL 2.5, 6.2   Classification Rules
02/23 DGL 16.0,16.2,4.3; DHS 3.8.2 Parametric Rules Parametric Rules
7 02/28 DGL 6.3,6.4,5.1,5.2,5.4; DHS 4.4,4.5 Nonparametric Rules Nonparametric Rules
03/01 DGL 5.4,5.7,5.8; 10.0,10.1,10.3; DHS 4.1-4.3   Nonparametric Rules
8 03/06     Midterm Exam
03/08 DHS 5.1,5.2,5.4-5.7 Perceptron Perceptron
9 03/13     Spring Break
03/15     Spring Break
10 03/20 DHS 5.11; Webb 4.2.5,5.4.0-5.4.2 SVM Support Vector Machines
03/22     Support Vector Machines
11 03/27 DHS 6.1-6.3; DGL30.1,30.2,30.4(Thm 30.7),30.5; Webb 6.2.1-6.2.4 NNET Neural Networks
03/29 DHS 8.1-8.3; DGL 20.0,20.1,20.9,20.11; Webb 7.1-7.2.2 Tree Decision Trees
12 04/03 DGL 27.0, 27.1 Discrete
Supp. Read.		 Discrete Classification
04/05 DGL 8.1-8.3,8.5,23.0-23.2,24.0,24.2-24.5 Err_Est
Supp. Read. 1
Supp. Read. 2
Supp. Read. 3		 Error Estimation
13 04/10     Error Estimation
04/12     Error Estimation
14 04/17     Error Estimation
04/19 DGL 32.1,32.4; Webb 9.1-9.3.2,9.4.0,9.4.2 Dim_Reduct Dimensionality Reduction
15 04/24     Dimensionality Reduction
04/26 DGL 8.4, 12.1, 12.4-12.6, 13.1-13.3, 14.3-14.4, 18.1, 30.4 DHS 6.3.3, 9.6.2, 9.6.8 Webb 11.1.1-11.1.2 Model_Select Model Selection
16 05/01     Model Selection
17 05/04 (12:30-2:30pm)     Final Exam

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 Last Updated:
 1/18/2012

Contact the instructor at: ulisses@ece.tamu.edu