We will motivate the use of n-dim NTF in three areas of data analysis: (i) connection to latent class models in statistics, (ii) sparse image coding in computer ...
We motivate the use of n-NTF in three areas of data analysis: (i) connection to latent class models in statistics, (ii) sparse image coding in computer vision, ...
PDF | We derive algorithms for finding a non- negative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization.
Non-Negative Tensor Factorization with Applications to Statistics and Computer Vision. (matrix) and n > 2 (tensor). While the rank of a ma- trix can be found ...
Non-negative tensor factorization with applications to statistics and computer vision ... Sparse image coding using a 3D non-negative tensor factorization.
No information is available for this page. · Learn why
Rating
(7) · $186.81
This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF's various extensions and ...
May 23, 2013 · Abstract:Nonnegative tensor factorization has applications in statistics, computer vision, exploratory multiway data analysis and blind source ...
People also ask
What is non-negative matrix factorization used for?
What are tensor methods in computer vision?
A. Shashua and T. Hazan: Non-Negative Tensor Factorization with Applications to Statistics and Computer Vision. International Conference of Machine Learning ( ...
No information is available for this page. · Learn why