Electronics and Telecommunication Engineering - Vishwakarma ...

Bansilal Ramnath Agarwal Charitable Trust’s
Vishwakarma Institute of Technology, Pune – 411 037
Department of Electronics and Telecommunication Engineering
FF No.: 654
EC42203 :: PATTERN RECOGNITION
Credits: 01
Teaching Scheme: - Tutorial 1 Hrs/Week
Prerequisites:
Objectives: To familiarize the student with
• Pattern recognition Techniques
• Bayesian decision theory
• Non parametric Techniques
• Different clustering Techniques.
• Mapping with PEOs:1,2,5,7,8
List of Contents
1. Concept of pattern recognition and Machine perception.
2. Analysis of Bayesian Decision theory continuous features
3. Analysis of Bayesian Decision theory discrete features
4. Analysis of Maximum-Likelihood estimation
5. Study of different Classification methods.
6. Analysis of Neighbour method-1
7. Analysis of Neighbour method- 2
8. Analysis of Linear discriminant function
9. Analysis of Support vector machines
10. Analysis of Algorithms for clustering-1
11. Analysis of Algorithms for clustering -2
12. Analysis of cluster validation
Text Books
1. Pattern Classification, R.O.Duda, P.E.Hart and D.G.Stork, John Wiley, 2001
2. Pattern Recognition, S.Theodoridis and K.Koutroumbas, 4th Ed., Academic Press,
2009
Reference Books
1. Pattern Recognition and Machine Learning, C.M.Bishop, Springer, 2006
Structure & Syllabus of B.E (E&TC) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011
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