Mathematical Frameworks for Signal and Image Analysis - Diffusion Methods in Manifold and Fibre Bundle Learning

This course covers mathematical frameworks for signal and image analysis, focusing on diffusion methods in manifold and fiber bundle learning. The learning outcomes include understanding diffusion and Procrustes distance, spectral decomposition, clustering, local and biological representations, and interdisciplinary work. The course is taught through a lecture format and is intended for students, postdocs, and researchers in the field of signal and image analysis.