Course Introduction Slides Mathematical Models And Methods For Image Processing (MMMIP) (Milano Leonardo), Materiali

Use the folloging calendar to know which room to go and where to connect, and to watch lectures recordings (Google Calendar)

February 20th Course Introduction and Representation w.r.t. Orthonormal Basis  Slides, Assignment - Colab Folder

February 27th DCT Basis for Images and Image Compression  Slides, Assignment - Colab Folder

February 29th Image Denoising: Sliding DCT Slides, Assignment - Colab Folder

March 5th Away from Orthonormal Basis Slides, Assignment - Colab Folder

March 7th Image Denoising by Data-Driven Orthonormal Basis Slides, Assignment - Colab Folder

March 12th Sparse Coding in ℓ0 sense. Matching Pursuit Slides, Assignment - Colab Folder

March 14th Matching Pursuit Variants Slides, Assignment - Colab Folder

March 19th Dictionary Learning: KSVD  No slides and no assignment

March 21st Sparse Coding in Image Denoising Slides, Assignment - Colab Folder

March 26th Lab on KSVD Slides, Assignment - Colab Folder

March 28th Spark and Image Inpainting Slides, Assignment - Colab Folder

April 4th Sparsity in ℓ1 sense: Basis Pursuit Denoising and Proximal Mapping Assignment - Colab Folder

April 16th Proximal Mapping and Iterative Soft Thresholding Algorithm (ISTA) Assignment - Colab Folder

April 27th FISTA (Backtracking and Mommentum), Hard Thresholding Slides Assignment - Colab Folder

Artificial Neural Networks And Deep Learning Polimi ( Materials )

Computer Vision (USI Lugano) Spring 2020 ( Materials )

Learning Sparse Representation for Image And Signal Modeling (Milano Leonardo, PhD course) February 2019 Materials (Official Program)

Advances In Deep Learning With Applications In Text And Image Processing (Milano Leonardo, PhD course) February/March 2019 Materials (Official Program)