Highlights
Students will develop a Machine Learning (ML) solution to solve a biometric recognition task with the highest recognition accuracy. The facial images are taken from real subjects in slightly different conditions, and so some images can be incorrectly recognised. This makes the ideal 100?curate recognition difficult or even impossible. Students will design a ML solution providing the minimal recognition error.
1. Introduction
Analyse solutions known from the literature which are related to the assignment task
2. Designing a Solution
Describe your design of solutions and how the assignment goals are achieved
3. Experiments
Describe your motivation for individual experiments, as discussed in tutorials
4. Conclusions
Analysis of the main results achieved in individual experiments, comparison results obtained in a group and/or with known from the literature.
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