Modern Techniques in Pattern Recognition

  • Electronics & Communications Engineering |

Description

Features extraction techniques, classifiers, speech speaker recognition, image recognition.

Program

M.Sc. in Electronics and Communications Engineering

Objectives

  • To introduce basic methods and principles of pattern recognition so students can apply them to their problem domains

Textbook

Data will be available soon!

Course Content

content serial Description
1Introduction to pattern recognition
2Approaches for Pattern recognition (connectionist)
3Approaches for Pattern recognition (statistical)
4Approaches for Pattern recognition (syntactic)
5Pattern preprocessing (segmentation)
6Feature extraction
7Feature extraction / 7th week evaluation.
8Feature selection
9Pattern classification
10Machine learning Supervised learning
11Machine learning Unsupervised learning
12Machine learning Unsupervised learning / 12th week evaluation
13Post-processing
14Theory of biometric recognition techniques
15Traditional classifiers of biometric recognition techniques
16Final Examination

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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