![]() | Study programme 2019-2020 | Français | |
Image Analysis and Pattern Recognition | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
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I-TCTS-005 |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
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Anglais | Anglais | 24 | 24 | 0 | 0 | 0 | Q1 |
Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19) |
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Description of the modifications to the Q3 2019-2020 online assessment procedures (Covid-19) |
time-limited individual production |
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
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
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)