LEARNING AND PATTERN RECOGNITION
Pierre Charbonnier, Directeur de Recherche MEDDE
+33 (0)3 68 77 46 44
Track - Year - Option - Semester
Coefficient = ECTS
Engineer - 3Y G ISSD - S9
Master - 2Y ID G + HCI / TIS / Topo - S3
2 / 4,5 / 2 (Topo)
14h CM, 17,50h TP(Computer Exercises)
If yes, which ones :
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Basic knowledge in statistics, probabilities and image processing.
The goals of this lecture are to introduce the main statistical and neuromimetic approaches of classification and pattern recognition.
After this course, the student will know the basics of the main classification and pattern recognition algorithms and will be able to apply them.