
VGAM
 Referenced in 93 articles
[sw04490]
 additive models, and associated models (ReducedRank VGLMs, Quadratic RRVGLMs, ReducedRank VGAMs). This...

Algorithm 844
 Referenced in 17 articles
[sw04407]
 Algorithm 844: Computing sparse reducedrank 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 (ReducedRank VGLMs, Quadratic RRVGLMs, RowColumn Interaction...

SuiteSparseQR
 Referenced in 29 articles
[sw07348]
 Algorithm 915, SuiteSparseQR: Multifrontal multithreaded rankrevealing sparse QR factorization SuiteSparseQR is a sparse ... above a given tolerance. Next, the fillreducing ordering, column elimination tree, and frontal matrix ... formation of the pattern of ATA. Approximate rankdetection is performed within each frontal matrix ... thus does not interfere with the fillreducing 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 reducedrank 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...

FFLASFFPACK
 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, lowrank 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 CPrank. We propose a general and efficient algorithm...

PLranking
 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, lowrank based regularization is applied to exploit...

GaussJordan
 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 reranking the documents retrieved by a traditional...

BTTSoftImpute
 Referenced in 1 article
[sw34805]
 reduced dramatically for largescale data matrices admitting a lowrank 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...