<--- Back to Details
First PageDocument Content
Matrix theory / Multivariate statistics / Singular value decomposition / Non-negative matrix factorization / Principal component analysis / Eigenvalues and eigenvectors / Rank / Expectation–maximization algorithm / Matrix decomposition / Algebra / Mathematics / Linear algebra
Date: 2013-09-03 10:14:17
Matrix theory
Multivariate statistics
Singular value decomposition
Non-negative matrix factorization
Principal component analysis
Eigenvalues and eigenvectors
Rank
Expectation–maximization algorithm
Matrix decomposition
Algebra
Mathematics
Linear algebra

LNCSAutomatic Rank Determination in Projective Nonnegative Matrix Factorization

Add to Reading List

Source URL: homepages.inf.ed.ac.uk

Download Document from Source Website

File Size: 203,94 KB

Share Document on Facebook

Similar Documents

2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) MULTIMODAL VOICE CONVERSION USING NON-NEGATIVE MATRIX FACTORIZATION IN NOISY ENVIRONMENTS Kenta MASAKA, Ryo AIHARA, Tetsuya TAKIGUCHI

DocID: 1vkm5 - View Document

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization Abhishek Kumar Dept. of Computer Science, University of Maryland, College Park, MD 20742, USA Vikas Sindhwani

DocID: 1veM0 - View Document

23rd European Signal Processing Conference (EUSIPCO) NOISE-ROBUST VOICE CONVERSION USING A SMALL PARALLEL DATA BASED ON NON-NEGATIVE MATRIX FACTORIZATION Ryo Aihara∗ , Takao Fujii∗ , Toru Nakashika† , Tetsuya Taki

DocID: 1v9i0 - View Document

Individuality-preserving Voice Conversion for Articulation Disorders Using Dictionary Selective Non-negative Matrix Factorization Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki Graduate School of System Informatics, Kobe Uni

DocID: 1uUYV - View Document

SEMI-NON-NEGATIVE MATRIX FACTORIZATION USING ALTERNATING DIRECTION METHOD OF MULTIPLIERS FOR VOICE CONVERSION Ryo AIHARA, Tetsuya TAKIGUCHI, Yasuo ARIKI Graduate School of System Informatics, Kobe University, Japan ABSTR

DocID: 1uz2V - View Document