Lecture 5: Stochastic Programming
A tutorial on Deep Learning
A Tour of Modern "Image Processing"
Patch Complexity, Finite Pixel Correlations and Optimal Denoising
Theoretical neuroscience and deep learning theory
Signal Processing: Continuous and Discrete
Statistics for Brain and Cognitive Science
Analysing Non-stationarity in EEG-BCI
Biomedical Signal and Image Processing
An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization