Pattern recognition Course

Course Objectives :

The aim of this course is to present for the students some technique about the classification and the pattern recognition. Parametric and non parametric methods are used. Neural network will be explained in details. Supervised and non supervised methods of classification are used.

Course Outline and materials:

1- Introduction to pattern recognition

2- Parametric classification

3- Non parametric clasification

4- Neural network 1

5- Neural network 2, feedforward neural network

6- Non supervised classification

7- LAB Matlab

Useful Programs:

- Program to generate data in R2

- Program to generate data non linearly separable.

- Program of classification by Perceptron algorithm,

- K-means classification algorithm

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Exams