The subject introduces pattern recognition (called also machine learning).
It is expected that student did not study this subject before, e.g. in the bachelor subject Rozpoznávání a strojové učení, A4M33RPZ lectured by Prof. Jiří Matas. The lecturer will ensure that a similar subject is not taken for the second time to get credits easily.
The subject comprises of lectures and consultations with the lecturer (if the student asks for it).
It is required that the student passed an introductory course of the probability theory and statistics or studied this area individually.
Week | Date | Content |
---|---|---|
1 | 02.03.2016 | Rehearsal of the basic knowledge from probability theory and statistics. Outline of pattern recognition. |
2 | 09.03.2016 | Bayesian task and its two special cases. |
- | 16.03.2016 | No lecture. VH on a business trip. |
3 | 23.03.2016 | Non-Bayesian tasks, formulations only. Conditional independence of features. Gaussian models. Feature space straightening. |
4 | 30.03.2016 | Data normalization. Experimental evaluation of classifiers. Receiver operator curve (ROC). |
5 | 06.04.2016 | Estimation of probabilistic models. Parametric methods. |
6 | 13.04.2016 | Estimation of probabilistic models. Nonparametric methods. |
7 | 20.04.2016 | Learning in pattern recognition. |
8 | 27.04.2016 | VC dimension. Estimate of the needed length of the training sequence. |
9 | 04.05.2016 | Linear classifiers and their learning. Support vector machines classifiers (SVM). Kernel methods. |
10 | 11.05.2016 | No lecture. Rector's day. |
11 | 18.05.2016 | Vít Listík: Deep convolutional networks. |
12 | 25.05.2016 | Unsupervised learning. Cluster analysis. K-means algorithm, its relation to data compression. |
===== Individual work =====
The student has to write a text in the form of a paper (research report). Ideally this text is part of student's research and relates to the subject. The aim of writing the paper is to teach help her/him improving the skill of paper writting and outlining the domain for the oral examination. It is preferred if this paper is typeset in LaTeX. The student is welcome to consult this paper with the lecturer during the semester.
Jana Ahmed, Jakub Kákona, Vít Listík, Miroslav Uller, Ibrahim Aboukashabah