• VGAM

  • Referenced in 93 articles [sw04490]
  • additive models, and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Reduced-Rank VGAMs). This...
  • Algorithm 844

  • Referenced in 17 articles [sw04407]
  • Algorithm 844: Computing sparse reduced-rank approximations to sparse matrices In many applications -- latent semantic ... required to obtain a reduced rank approximation to a sparse matrix A. Unfortunately, the approximations...
  • VGAMdata

  • Referenced in 11 articles [sw18444]
  • additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction...
  • SuiteSparseQR

  • Referenced in 29 articles [sw07348]
  • Algorithm 915, SuiteSparseQR: Multifrontal multithreaded rank-revealing sparse QR factorization SuiteSparseQR is a sparse ... above a given tolerance. Next, the fill-reducing ordering, column elimination tree, and frontal matrix ... formation of the pattern of ATA. Approximate rank-detection is performed within each frontal matrix ... thus does not interfere with the fill-reducing ordering. For sufficiently large problems, the resulting...
  • SAS GRA

  • Referenced in 1 article [sw37334]
  • framework of redundancy analysis and reduced rank regression, the extended redundancy analysis model managed...
  • ERA

  • Referenced in 1 article [sw37248]
  • characteristic of generalizing redundancy analysis and reduced-rank regression models for more than two blocks...
  • WOMBAT

  • Referenced in 1 article [sw07817]
  • covariance structures, random regression models and reduced rank estimation are accommodated. WOMBAT employs...
  • Algorithm 900

  • Referenced in 1 article [sw20183]
  • Fortran 90 modules that implement the reduced rank square root versions of the Kalman filter...
  • KITTI

  • Referenced in 25 articles [sw30418]
  • evaluation website. Preliminary experiments show that methods ranking high on established benchmarks such as Middlebury ... real world. Our goal is to reduce this bias and complement existing benchmarks by providing...
  • FFLAS-FFPACK

  • Referenced in 22 articles [sw00283]
  • BLAS routines. Since many algorithms have been reduced to use matrix multiplication in order ... optimal complexity algorithms, such as LSP factorization, rank determinant and inverse computation can also...
  • FPC

  • Referenced in 2 articles [sw20468]
  • long as a certain reduced Hessian is full rank, or a strict complementarity condition holds...
  • TLPVS

  • Referenced in 10 articles [sw10024]
  • deductive ltl system. A distributed rank rule for the verification of response properties in parameterized ... presented, and a methodology is detailed for reducing compassion requirements to justice requirements (strong fairness...
  • JIVE

  • Referenced in 12 articles [sw09511]
  • capturing joint variation across data types, low-rank approximations for structured variation individual to each ... amount of joint variation between data types, reduces the dimensionality of the data and provides...
  • MultiwayRegression

  • Referenced in 1 article [sw18394]
  • restricting the coefficients to have reduced CP-rank. We propose a general and efficient algorithm...
  • PL-ranking

  • Referenced in 1 article [sw28415]
  • ranking. Then, considering that the pairwise ranking loss constraint ignores class information, we further adopt ... number of iterations is reduced. Finally, low-rank based regularization is applied to exploit...
  • Gauss-Jordan

  • Referenced in 3 articles [sw28564]
  • matrix in reduced row echelon form. The formalization is based on the Rank Nullity Theorem...
  • NetSDM

  • Referenced in 1 article [sw28408]
  • network analysis based node ranking and pruning to significantly reduce the size of the original...
  • ColBERT

  • Referenced in 1 article [sw37760]
  • tackle this, we present ColBERT, a novel ranking model that adapts deep LMs (in particular ... query processing. Beyond reducing the cost of re-ranking the documents retrieved by a traditional...
  • BTTSoftImpute

  • Referenced in 1 article [sw34805]
  • reduced dramatically for large-scale data matrices admitting a low-rank tensor structure. An iterative...
  • MURAVE

  • Referenced in 1 article [sw37633]
  • Support Basis Decomposition problem and the Advanced Rank Support Basis Decomposition problem. We also discuss ... security model, by reducing the security of our scheme to the Rank Syndrome Decoding problem...