
TensorToolbox
 Referenced in 180 articles
[sw04185]
 mathematical operations, including those typical to tensor decomposition algorithms. Second, we study factored tensors, which...

LiE
 Referenced in 164 articles
[sw01075]
 objects. Some specialities of LiE are: tensor product decompositions, branching to subgroups, Weyl group orbits...

Tensorlab
 Referenced in 71 articles
[sw14255]
 dense, sparse and incomplete data sets, tensor decompositions: canonical polyadic decomposition (CPD), multilinear singular value ... decomposition (MLSVD), block term decompositions (BTD) and low multilinear rank approximation (LMLRA), complex optimization: quasi ... real exact plane search (PS) for tensor optimization, and much more: cumulants, tensor visualization, estimating...

LieART
 Referenced in 58 articles
[sw08573]
 Algebras and representation theory, such as tensor product decomposition and subalgebra branching of irreducible representations ... memory consumption. Extensive tables of properties, tensor products and branching rules of irreducible representations...

TensorLy
 Referenced in 12 articles
[sw27020]
 accessible. It allows to easily perform tensor decomposition, tensor learning and tensor algebra. Its backend...

coxeter
 Referenced in 22 articles
[sw07772]
 including functions for computing weight multiplicities, tensor product decompositions, and branching...

TKPSVD
 Referenced in 12 articles
[sw28028]
 constructive arbitrarydegree Kronecker product decomposition of tensors. We propose the tensor Kronecker product singular ... value decomposition (TKPSVD) that decomposes a real kway tensor A into a linear combination ... into a dway tensor, after which a polyadic decomposition with orthogonal rank1 terms ... prove that for many different structured tensors, the Kronecker product factors...

GoSam
 Referenced in 27 articles
[sw07310]
 either Ddimensional integrandlevel decomposition or by tensor reduction. GoSam can be used...

Poblano
 Referenced in 12 articles
[sw04186]
 application for Poblano development has been tensor decompositions in data analysis applications (bibliometric analysis, social...

GigaTensor
 Referenced in 6 articles
[sw23741]
 DBLP conferenceauthorkeyword relations. Tensor decomposition is an important data mining tool with various ... detection, and anomaly detection. However, current tensor decomposition algorithms are not scalable for large tensors ... problem, associated with naive implementations of tensor decomposition algorithms, would require the materialization ... scalable distributed algorithm for large scale tensor decomposition. GIGATENSOR exploits the sparseness of the real...

MultiCluster
 Referenced in 6 articles
[sw30715]
 gene expression data using seminonnegative tensor decomposition. The advent of highthroughput sequencing technologies ... called MultiCluster, based on seminonnegative tensor decomposition which permits the investigation of transcriptome variation ... tissues simultaneously. We further develop a tensor projection procedure which detects covariaterelated genes with...

t3f
 Referenced in 4 articles
[sw32795]
 library for working with Tensor Train decomposition built on top of TensorFlow ... library for working with Tensor Train decomposition. Tensor Train decomposition is a generalization ... rank decomposition from matrices to tensors (=multidimensional arrays), i.e. it’s a tool to efficiently...

TTDock
 Referenced in 5 articles
[sw35063]
 TTDock: a docking method based on tensor train decompositions. A new docking method based ... tensor train decomposition is proposed. This method allows one to find the position ... results, the docking method based on tensor train decompositions is up to 10 times faster...

LOBPCG
 Referenced in 33 articles
[sw09638]
 rank tensor format. In this paper, we use the hierarchical Tucker decomposition to develop...

ERPWAVELAB
 Referenced in 9 articles
[sw13140]
 negative matrix and multiway (tensor) factorization. The decompositions provided can accommodate additional dimensions like...

TensorBox
 Referenced in 2 articles
[sw35869]
 algorithms for decompositions of multiway array data into rank1 tensors such ... CANDECOMP/PARAFAC; Tucker decomposition; Generalized Kronecker tensor decomposition; Tensor deconvolution; Tensor train decomposition; Best rank ... tensor approximation; Tensor decomposition with given error bound (or the denoising problem); Application...

rTensor
 Referenced in 3 articles
[sw32423]
 package rTensor: Tools for Tensor Analysis and Decomposition. A set of tools for creation, manipulation ... wise operations. rTensor also implements various tensor decomposition, including CP, GLRAM, MPCA, PVD, and Tucker...

xerus
 Referenced in 3 articles
[sw33056]
 numerical calculations with higher order tensors, TensorTrain Decompositions / Matrix Product States and other Tensor ... setting that requires higher order tensors or decompositions thereof...

TuckerMPI
 Referenced in 3 articles
[sw27856]
 scale Data Compression via the Tucker Tensor Decomposition. Our goal is compression of massivescale ... tensor, i.e., a multidimensional array, and computing its truncated Tucker decomposition, a higherorder analogue ... decomposition of a matrix. The result is a lowrank approximation of the original tensor ... TuckerMPI, our implementation of the truncated Tucker decomposition, including details of the data distribution...

TDALAB
 Referenced in 2 articles
[sw34573]
 TDALAB: MATLAB Toolbox for Highorder Tensor Data Decompositions and Analysis. Tensor Toolbox (TDALAB) provides ... toolbox for experimentation and application of tensor decomposition and analysis...