Results 111 to 120 of about 196,468 (204)

Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales

open access: yesFrontiers in Applied Mathematics and Statistics
Temporal text data, such as news articles or Twitter feeds, often comprises a mixture of long-lasting trends and transient topics. Effective topic modeling strategies should detect both types and clearly locate them in time.
Lara Kassab   +6 more
doaj   +1 more source

Plastic tensor networks for interpretable generative modeling

open access: yesMachine Learning: Science and Technology
A structural optimization scheme for a single-layer nonnegative adaptive tensor tree (NATT) that models a target probability distribution is proposed as an alternative paradigm for generative modeling.
Katsuya O Akamatsu   +3 more
doaj   +1 more source

Doubly Nonnegative Tensors, Completely Positive Tensors and Applications

open access: yes, 2015
The concept of double nonnegativity of matrices is generalized to doubly nonnegative tensors by means of the nonnegativity of all entries and $H$-eigenvalues. This generalization is defined for tensors of any order (even or odd), while it reduces to the class of nonnegative positive semidefinite tensors in the even order case.
Luo, Ziyan, Qi, Liqun
openaire   +2 more sources

NONNEGATIVE TENSOR FACTORIZATION FOR CONTINUOUS EEG CLASSIFICATION

open access: yes, 2008
In this paper we present a method for continuous EEG classification, where we employ nonnegative tensor factorization (NTF) to determine discriminative spectral features and use the Viterbi algorithm to continuously classify multiple mental tasks.
Andrzej Cichocki   +3 more
core  

Nonnegative tensor train for the multicomponent Smoluchowski equation

open access: yesComputational and Applied Mathematics
We propose an efficient implementation of the numerical tensor-train (TT) based algorithm solving the multicomponent coagulation equation preserving the nonnegativeness of solution. Unnatural negative elements in the constructed approximation arise due to the errors of the low-rank decomposition and discretization scheme.
Sergey A. Matveev, Ilya Tretyak
openaire   +3 more sources

Nesterov-based alternating optimization for nonnegative tensor factorization: algorithm and parallel implementation

open access: yes, 2018
Summarization: We consider the problem of nonnegative tensor factorization. Our aim is to derive an efficient algorithm that is also suitable for parallel implementation.
Kostoulas Georgios(http://users.isc.tuc.gr/~gkostoulas)   +8 more
core   +1 more source

Polynomial Approximation on Unbounded Subsets and the Markov Moment Problem

open access: yesInternational Journal of Analysis and Applications, 2013
We start this review paper by recalling some known and relatively recent results in polynomial approximation on unbounded subsets. These results allow approximation of nonnegative continuous functions with compact support contained in the first quadrant ...
Octav Olteanu
doaj   +2 more sources

Detecting memberships in multiplex networks via nonnegative matrix factorization and tensor decomposition

open access: yesNew Journal of Physics
Multiplex networks provide a powerful data structure for capturing diverse relationships among nodes, and the challenge of community detection within these networks has recently attracted considerable attention.
Fengqin Tang   +3 more
doaj   +1 more source

Advances in Nonnegative Matrix and Tensor Factorization

open access: yesComputational Intelligence and Neuroscience, 2008
Andrzej Cichocki   +4 more
openaire   +5 more sources

Countably many asymptotic tensor ranks [PDF]

open access: yes
In connection with recent work on gaps in the asymptotic subranks of complex tensors the question arose whether the number of nonnegative real numbers that arise as the asymptotic subrank of some complex tensor is countable.
Rupniewski, Filip   +2 more
core   +1 more source

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