Results 11 to 20 of about 9,083 (186)
Discriminant Nonnegative Tensor Factorization Algorithms [PDF]
IEEE Transactions on Neural Networks, 2009 Nonnegative matrix factorization (NMF) has proven to be very successful for image analysis, especially for object representation and recognition. NMF requires the object tensor (with valence more than one) to be vectorized. This procedure may result in information loss since the local object structure is lost due to vectorization. Recently, in order to
Stefanos P Zafeiriou
openaire +4 more sources
Sparse Nonnegative Tensor Factorization and Completion With Noisy Observations [PDF]
IEEE Transactions on Information Theory, 2022 In this paper, we study the sparse nonnegative tensor factorization and completion problem from partial and noisy observations for third-order tensors. Because of sparsity and nonnegativity, the underlying tensor is decomposed into the tensor-tensor product of one sparse nonnegative tensor and one nonnegative tensor.
Xiongjun Zhang, Michael K. Ng
openaire +4 more sources
Nonnegative Tensor Factorization, Completely Positive Tensors and an Hierarchical Elimination Algorithm [PDF]
SIAM Journal on Matrix Analysis and Applications, 2013 Nonnegative tensor factorization has applications in statistics, computer vision, exploratory multiway data analysis and blind source separation. A symmetric nonnegative tensor, which has a symmetric nonnegative factorization, is called a completely ...
Qi, Liqun, Xu, Changqing, Xu, Yi
core +3 more sources
Image representation using Laplacian regularized nonnegative tensor factorization [PDF]
Pattern Recognition, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Can +5 more
openaire +3 more sources
Coseparable Nonnegative Tensor Factorization with t-CUR Decomposition
SIAM Journal on Matrix Analysis and ApplicationsNonnegative Matrix Factorization (NMF) is an important unsupervised learning method to extract meaningful features from data. To address the NMF problem within a polynomial time framework, researchers have introduced a separability assumption, which has recently evolved into the concept of coseparability.
Juefei Chen, Longxiu Huang, Yimin Wei
openaire +5 more sources
Accelerating block coordinate descent for nonnegative tensor factorization [PDF]
Numerical Linear Algebra with Applications, 2021 AbstractThis paper is concerned with improving the empirical convergence speed of block‐coordinate descent algorithms for approximate nonnegative tensor factorization (NTF). We propose an extrapolation strategy in‐between block updates, referred to as heuristic extrapolation with restarts (HER).
Man Shun Ang, Andersen +3 more
openaire +5 more sources
Scenario Discovery Using Nonnegative Tensor Factorization [PDF]
Progress in Pattern Recognition, 2008 In the relatively new field of visual analytics there is a great need for automated approaches to both verify and discover the intentions and schemes of primary actors through time. Data mining and knowledge discovery play critical roles in facilitating the ability to extract meaningful information from large and complex textual-based (digital ...
Bader B, Puretskiy A, Berry M.
europepmc +3 more sources
Results in Physics, 2017 For efficient exploitation of research reactors, it is important to discern neutron flux distribution inside the reactor with the best possible precision. For this reason, fission and ionization chambers are used to measure the neutron field.
Mounia Laassiri +2 more
doaj +1 more source
Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers [PDF]
, 2015 Tensor factorization has proven useful in a wide range of applications, from sensor array processing to communications, speech and audio signal processing, and machine learning.
Liavas, Athanasios P. +1 more
core +1 more source
ISPRS International Journal of Geo-Information, 2021 The paradigms of taxis and ride-hailing, the two major players in the personal mobility market, are compared systematically and empirically in a unified spatial–temporal context.
Di Wang, Tomio Miwa, Takayuki Morikawa
doaj +1 more source