Fundamentals of Statistical Pattern Recognition

Posted on Thu 23 February 2017 in courses

This course (EE-612) presents fundamental tools used in statistical pattern recognition ranging from the most basic to more advanced. It is given to post-grad (Ph.D.) students at the École Polytechnique Fédérale de Lausanne, Switzerland.


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Reproducible Research for Pattern Recognition

Posted on Wed 22 July 2015 in courses

This is a course on Reproducible Research (RR) for research engineers working with software applications in Pattern Recognition (PR) and Machine Learning (ML). It motivates and explains con- cepts behind RR, an increasing trend in scientific publications in this niche, its implications and tools for implementing it on an individual or group levels. It is a hands-on course in the sense students will be required to create their own workflows for selected problems in ML and PR. By the end of this course, students should understand the basic concepts of reproducibility, its importance on their daily practice and how to achieve it with freely available tools and environments.


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