Category
Compressed sensing
Related lectures (4)
L1 Regularization: Sparse Solutions and Dimensionality Reduction
Delves into L1 regularization, sparse solutions, and dimensionality reduction in the context of machine learning.
Concise Signal Models and Compressive Sensing
Explores concise signal models, compressive sensing, sparsity, atomic norms, and non-smooth minimization using subgradient descent.
LASSO Regression: Sparse Signal Induction
Explores LASSO regression for inducing sparsity in signals through gradient descent.
Non-smoothness and Compressive Sensing
Explores non-smooth minimization, compressive sensing, sparse signal recovery, and simple representations using atomic sets and atoms.