 | Study programme 2021-2022 | Français | |
| Computer Vision & Machine Intelligence | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-ISIA-005 |
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|
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Anglais | Anglais, Français | 24 | 24 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
Image Processing: Image acquisition; lowlevel processing, filtering, transforms; image segmentation and registration;
Pattern Recognition: SPR scheme, feature extraction, classifiers, combining classifiers; neural networks: feed-forward neural networks, training MLP, Deep Neural Nets; support vector machines; dynamic systems: dynamic time warping, hidden Markov models
Teaching modalities may be adjusted according to the teaching context imposed by health measures.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras, "Introduction to pattern recognition - A MATLAB approach", 9780123744869
T. Dutoit & F. Marques, "Applied Signal Processing", Springer, 2009
R.O. Duda & P.E. Hart, "Pattern Classification and Scene Analysis", John Wiley & Sons, 1973 (2000).
K. Fukunaga, "Introduction to Statistical Pattern Recognition", Academic Press, San Diego, 1990
Mode of delivery
- Mixed
Type of Teaching Activity/Activities
- Cours magistraux
- Travaux pratiques
- Projet sur ordinateur
- Etudes de cas
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)