Mesoscale Reconstruction of Images and Networks Using Tensor Decomposition

This course teaches learners how to reconstruct images and networks using tensor decomposition. The course aims to provide a unified framework for reconstructing images and networks using low-rank mesoscale structures. The individual skills taught include understanding mesoscale reconstruction, implementing online CP-dictionary learning, and utilizing tensor decomposition for multi-modal dataset reconstruction. The teaching method involves theoretical explanations, examples, and discussions on algorithms. The intended audience for this course includes researchers, practitioners, and students interested in image reconstruction, network analysis, and tensor decomposition.