• TensorToolbox

  • Referenced in 164 articles [sw04185]
  • mathematical operations, including those typical to tensor decomposition algorithms. Second, we study factored tensors, which...
  • LiE

  • Referenced in 157 articles [sw01075]
  • objects. Some specialities of LiE are: tensor product decompositions, branching to subgroups, Weyl group orbits...
  • Tensorlab

  • Referenced in 57 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 46 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...
  • coxeter

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

  • Referenced in 26 articles [sw07310]
  • either D-dimensional integrand-level decomposition or by tensor reduction. GoSam can be used...
  • GigaTensor

  • Referenced in 6 articles [sw23741]
  • DBLP conference-author-keyword 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...
  • TensorLy

  • Referenced in 8 articles [sw27020]
  • accessible. It allows to easily perform tensor decomposition, tensor learning and tensor algebra. Its backend...
  • Poblano

  • Referenced in 11 articles [sw04186]
  • application for Poblano development has been tensor decompositions in data analysis applications (bibliometric analysis, social...
  • TKPSVD

  • Referenced in 9 articles [sw28028]
  • constructive arbitrary-degree Kronecker product decomposition of tensors. We propose the tensor Kronecker product singular ... value decomposition (TKPSVD) that decomposes a real k-way tensor A into a linear combination ... into a d-way tensor, after which a polyadic decomposition with orthogonal rank-1 terms ... prove that for many different structured tensors, the Kronecker product factors...
  • 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...
  • MultiCluster

  • Referenced in 4 articles [sw30715]
  • gene expression data using semi-nonnegative tensor decomposition. The advent of high-throughput sequencing technologies ... called MultiCluster, based on semi-nonnegative tensor decomposition which permits the investigation of transcriptome variation ... tissues simultaneously. We further develop a tensor projection procedure which detects covariate-related genes with...
  • LOBPCG

  • Referenced in 32 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 multi-way (tensor) factorization. The decompositions provided can accommodate additional dimensions like...
  • TDALAB

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

  • Referenced in 5 articles [sw08572]
  • Verma modules, branching of representations and tensor product decomposition are the most important problems...
  • TensorBox

  • Referenced in 1 article [sw35869]
  • algorithms for decompositions of multiway array data into rank-1 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...
  • xerus

  • Referenced in 2 articles [sw33056]
  • numerical calculations with higher order tensors, Tensor-Train Decompositions / Matrix Product States and other Tensor ... setting that requires higher order tensors or decompositions thereof...
  • TedNet

  • Referenced in 1 article [sw38105]
  • TedNet: A Pytorch Toolkit for Tensor Decomposition Networks. Tensor Decomposition Networks(TDNs) prevail for their ... TDNs. TedNet implements 5 kinds of tensor decomposition(i.e., CANDECOMP/PARAFAC(CP), Block-Term Tucker...