Introduzione al supervised learning. Regressione logistica. Feature descriptors. Harris Corner Detection. SIFT.
Slides disponibili:
- Introduzione alla classificatione. Video della lezione, con appunti allegati.
- Keypoint detection and Descritpors. Video della lezione, con appunti allegati.
Notebooks di studio:
Riferimenti bibliografici
- [Davies18], Ch. 6, 13.
- [Solem12], Ch. 2, 8.
- [Sze11], Ch. 4.1.
- [Kin19], Ch. 17.
Link utili
- Introduction to Neural Networks
- Tutorial on Logistic Regression
- Course Notes on Optimization for Machine Learning and Mathematical Foundations of Data Science
- An Introduction to Machine Learning with scikit-learn
- Introduction to Feature Detection and Matching
- Harris Corner Detection
- SIFT: Theory and Practice
- OpenCV Tutorials on Feature Descriptors
- Distinctive image features from scale invariant Keypoints
- The laplacian pyramid as a compact image
- SIFT: a detailed description