Concept
Modern Greek
Related lectures (9)
Tucker Decomposition: Multilinear rank and applications in data compression
Covers the Tucker decomposition and its applications in data compression, explaining the notion of multilinear rank and the HOSVD method.
Newton's method: Hessian and optimization
Explores Newton's method for optimization, emphasizing the role of the Hessian matrix.
Topic Models: Understanding Latent Structures
Explores topic models, Gaussian mixture models, Latent Dirichlet Allocation, and variational inference in understanding latent structures within data.
Matricizations and Alternating Least Squares
Covers matricizations, ALS method, and tensor decomposition, emphasizing the alignment of fibers in matrices.