Pattern Recognition
01.03.2021
This course covered the mort important topics of pattern recognition through reading scientific papers, solving small practical tasks and finally presenting and discussing the results. These topics included:
- Feature Extraction
- Introduction to Structural Methods
- Clustering Methodologies
- Gaussian Mixture Models
- Kernel Methods
- Deep Machine Learning