Bibliography

Literatura complementar será fornecida durante o curso.

1. R.O. Duda, P.E. Hart, and D.G. Stork. Pattern Classification, 2nd edition, 2001.

2. R. Szeliski. Computer Vision Algorithms and Applications, 2011.

3. M. Kubat. An Introduction to Machine Learning. 2nd. edition, 2017.

4. R. C. Gonzalez & R. E. Woods. Digital Image Processing, 4o. edition, 2018.

5. S. Skansi. Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence, 2018.

6. C.C. Aggarwal. Neural Networks and Deep Learning: A Textbook, 2018.

7. V.K. Ayyadevara and Y. Reddy. Modern Computer Vision with Pytorch. Packt, 1st edition, 2020 (2nd edition, 2025).