Course
- Vaknaam
- Pattern Recognition
- Vakcode
- INMPR-08
- Vakjaar
- 2010-2011
- Study Program
- Kunstmatige Intelligentie
- Docenten
- prof. dr. N. Petkov
- Literatuur
- R.O. Duda, P.E. Hart, D.G. Stork; Pattern Classification
- Toetsingsvormen
- Examination and practicals, presentation
- Werkvormen
- Practicals
- Vakomschrijving
- This course provides an introduction to pattern recognition theory and techniques. Pattern recognition is the research area that studies the design and operation of systems that recognize and classify patterns in data. Important application domains are image analysis, computer vision, character recognition, speech analysis, man and machine diagnostics, person identification, spam filtering, industrial inspection, financial data analysis and forecast, genetics. Generally, pattern recognition includes techniques such as feature extraction, classification, error estimation and cluster analysis, known as statistical pattern recognition techniques, and, respectively, grammatical inference and parsing, known as syntactical pattern recognition.
- Toetsing
- The final mark will be computed as a weighted average of your marks for practicals (40%), presentation (10%) and written examination (50%). In order to pass, you must get a sufficient (6) for each of these separately. You will be admitted to the written (re-)examination only if you fulfill the requirements for the practicals and the presentation.
- Beoordeling
- The course is well evaluated. If you consistently follow all of the practicals the exam is not that hard. The book is not very instructive but is very useful as reference. Though is not obligated to buy the book.
- Created
- 2011-05-02 13:16:50
