Results 31 to 40 of about 244,754 (100)

Nesterov-based parallel algorithm for large-scale nonnegative tensor factorization

, 2017
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), Liavas Athanasios(http://users.isc.tuc.gr/~aliavas), Lourakis Georgios(http://users.isc.tuc.gr/~glourakis), Huang Kejun, Λιαβας Αθανασιος(http://users.isc.tuc.gr/~aliavas), Λουρακης Γεωργιος(http://users.isc.tuc.gr/~glourakis), Κωστουλας Γεωργιος(http://users.isc.tuc.gr/~gkostoulas), Sidiropoulos, N. D(http://viaf.org/viaf/56130049)   +7 more
core   +1 more source

VOLUME-REGULARIZED NONNEGATIVE TUCKER DECOMPOSITION WITH IDENTIFIABILITY GUARANTEES. [PDF]

Proc IEEE Int Conf Acoust Speech Signal Process, 2023
Sun Y, Huang K.
europepmc   +1 more source

NONNEGATIVE TENSOR FACTORIZATION FOR CONTINUOUS EEG CLASSIFICATION

, 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, Seungjin Choi, Hyekyoung Lee, Yong-deok Kim   +3 more
core  

Supervised nonnegative tensor factorization with Maximum-Margin Constraint

, 2013
Non-negative tensor factorization (NTF) has attracted great attention in the machine learning community. In this paper, we extend traditional non-negative tensor factorization into a supervised discriminative decomposition, referred as Supervised Non ...
Zhuang, Yueting, Tang, Siliang, Tao, Dacheng, Tan, X, Tan, Xu, Tang, S, Zhuang, Y, Wu, Fei, Yang, Y, Wu, F, Yang, Yi, Tao, D, Fei Wu, Dacheng Tao, Xu Tan, Yi Yang, Yueting Zhuang, Siliang Tang   +17 more
core   +1 more source

Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. [PDF]

Soc Netw Anal Min, 2021
Balasubramaniam T, Nayak R, Luong K, Bashar MA, Bashar MA.   +4 more
europepmc   +1 more source

Projective robust nonnegative factorization

, 2016
Nonnegative matrix factorization (NMF) has been successfully used in many fields as a low-dimensional representation method. Projective nonnegative matrix factorization (PNMF) is a variant of NMF that was proposed to learn a subspace for feature ...
You, Jane, Xu, Yong, Lu, Yuwu, Li, Xuelong, Lai, Zhihui, Yuan, Chun   +5 more
core   +1 more source

S.: Novel multi-layer nonnegative tensor factorization with sparsity constraints

, 2007
. In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way blind source separation (BSS), multi-sensory or multi-dimensional data ...
Rafal Zdunek, Andrzej Cichocki, Seungjin Choi   +2 more
core  

A sequential two-step priming scheme reproduces diversity in synaptic strength and short-term plasticity. [PDF]

Proc Natl Acad Sci U S A, 2022
Lin KH, Taschenberger H, Neher E.
europepmc   +1 more source

C.: Controlling sparseness in nonnegative tensor factorization

, 2006
. Non-negative tensor factorization (NTF) has recently been proposed as sparse and efficient image representation (Welling and Weber, Patt. Rec. Let., 2001). Until now, sparsity of the tensor factorization has been empirically observed in many cases, but
Christoph Schnörr, Matthias Heiler
core  

Application of Nonnegative Tensor Factorization for Intercity Rail–Air Transport Supply Configuration Pattern Recognition [PDF]

, 2019
With the rapid expansion of the railway represented by high-speed rail (HSR) in China, competition between railway and aviation will become increasingly common on a large scale.
Xiaochen Hua, Han Zhong, Hua, Xiaochen, Qi, Geqi, Zhong, Han, Wei Guan, Guan, Wei, Geqi Qi   +7 more
core   +1 more source