Results 31 to 40 of about 1,627,028 (236)

Simultaneous non-negative matrix factorization for multiple large scale gene expression datasets in toxicology [PDF]

, 2012
Non-negative matrix factorization is a useful tool for reducing the dimension of large datasets. This work considers simultaneous non-negative matrix factorization of multiple sources of data.
Clare M. Lee, Vass J. Keith, D R Haggart, Lee Clare M., Mudaliar, MAV, Higham, Desmond, Vass, D.J., Manikhandan A V Mudaliar, Gino Miele, Mudaliar, Manikhandan A.V., Haggart, D. R., Mudaliar, M.A.V., Higham, Desmond J., Haggart D. R., Crowther, Daniel, D. R. Haggart, Lee, C.M., Lee, Clare M., Mudaliar Manikhandan A. V., J Keith Vass, Higham Desmond J., Wolf, C.R., Higham, D.J., Wolf C. Roland, Miele Gino, Mudaliar, Manikhandan A. V., Miele, Geno, Desmond J Higham, Clare M Lee, C. Roland Wolf, Miele, G., Manikhandan A. V. Mudaliar, C Roland Wolf, Crowther Daniel, Vass, J.K., Miele, Gino, J. Keith Vass, Crowther, D., Crowther, Daniel; id_orcid, Daniel Crowther, Vass, J. Keith, Desmond J. Higham, Haggart, D.R., Wolf, C. Roland, Lee, Clare   +44 more
core   +1 more source

Novel Algorithms Based on Majorization Minimization for Nonnegative Matrix Factorization

IEEE Access, 2019
Matrix decomposition is ubiquitous and has applications in various fields like speech processing, data mining and image processing to name a few. Under matrix decomposition, nonnegative matrix factorization is used to decompose a nonnegative matrix into ...
R. Jyothi, Prabhu Babu, Rajendar Bahl
doaj   +1 more source

On Restricted Nonnegative Matrix Factorization

CoRR, 2016
Full version of an ICALP'16 ...
Dmitry Chistikov 0001, Stefan Kiefer, Ines Marusic, Mahsa Shirmohammadi, James Worrell 0001   +4 more
openaire   +6 more sources

Simultaneous non-negative matrix factorization for multiple large scale gene expression datasets in toxiciology [PDF]

, 2012
Non-negative matrix factorization is a useful tool for reducing the dimension of large datasets. This work considers simultaneous non-negative matrix factorization of multiple sources of data.
Mudaliar, Manikhandan A. V., Miele, Geno, Higham, Desmond J., Crowther, Daniel, Lee, Clare M., Vass, J. Keith, Haggart, D.R., Wolf, C. Roland   +7 more
core   +2 more sources

Nonnegative Matrix Factorizations Performing Object Detection and Localization

Applied Computational Intelligence and Soft Computing, 2012
We study the problem of detecting and localizing objects in still, gray-scale images making use of the part-based representation provided by nonnegative matrix factorizations.
G. Casalino, N. Del Buono, M. Minervini
doaj   +1 more source

Computing a Nonnegative Matrix Factorization---Provably [PDF]

SIAM Journal on Computing, 2012
29 pages, 3 ...
Sanjeev Arora, Rong Ge 0001, Ravi Kannan, Ankur Moitra   +3 more
openaire   +6 more sources

ACCOUNTING FOR PHASE CANCELLATIONS IN NON-NEGATIVE MATRIX FACTORIZATION USING WEIGHTED DISTANCES [PDF]

, 2014
(c)2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Ewert, S, Plumbley, MD, Sandler, M, IEEE
core   +4 more sources

Theorems on Positive Data: On the Uniqueness of NMF [PDF]

, 2008
We investigate the conditions for which nonnegative matrix factorization (NMF) is unique and introduce several theorems which can determine whether the decomposition is in fact unique or not.
Pumbley, Mark, Plumbley, MD, Christensen, Mads Græsbøll; id_orcid, Hansen, LK, Lauerberg, Hans, Christensen, MG, Plumbley, Mark D., Jensen, Søren Holdt, Jensen, SH, Laurberg, Hans, Christensen, Mads Græsbøll, Hansen, Lars Kai, Laurberg, H   +12 more
core   +1 more source

Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network

Complexity, 2018
We present a novel method, called graph sparse nonnegative matrix factorization, for dimensionality reduction. The affinity graph and sparse constraint are further taken into consideration in nonnegative matrix factorization and it is shown that the ...
Xiangguang Dai, Chuandong Li, Biqun Xiang   +2 more
doaj   +1 more source

Monotonous (semi-)nonnegative matrix factorization [PDF]

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015
Nonnegative matrix factorization (NMF) factorizes a non-negative matrix into product of two non-negative matrices, namely a signal matrix and a mixing matrix. NMF suffers from the scale and ordering ambiguities. Often, the source signals can be monotonous in nature.
Nirav Bhatt, Arun Ayyar
openaire   +3 more sources