RPZ - Pattern Recognition and Machine Learning

2018 – 2025
RPZ - Rozpoznávání a strojové učení (CZE)
The course introduces statistical decision theory and surveys canonical and advanced classifiers such as perceptrons, AdaBoost, support vector machines, and neural nets.
Czech Technical University in Prague, Faculty of Electrical Engineering
Lecturer: prof. Ing. Jiří Matas, Ph.D.

  • teaching - lab assistant
  • development of automatic evaluation of student homeworks
  • teaching material preparation
    • link

Past Courses

  • 2020 -- 2022
    DIF - Digital Image Processing
    DIF - Zpracování digitální fotografie (CZE)
    The course combines artistic and technical aspects of digital photography, covering topics from camera operation and studio photography to image editing and post-processing techniques.
    Lecturers: prof. Ing. Václav Hlaváč, CSc.; Mgr. Roman Sejkot
    link

  • 2018 -- 2019
    MPV - Computer Vision Methods
    MPV - Metody počítačového vidění (CZE)
    The course focuses on the following computer vision problems: finding correspondences between images using image features and their robust invariant descriptors, image retrieval, object detection and recognition, and visual tracking.
    Lecturer: prof. Ing. Jiří Matas, Ph.D.
    link