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SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
12 years 1 months ago
On Finding Joint Subspace Boolean Matrix Factorizations
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
Pauli Miettinen
JMLR
2012
12 years 1 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
PARA
2004
Springer
14 years 4 months ago
Rational Krylov for Large Nonlinear Eigenproblems
Rational Krylov is an extension of the Lanczos or Arnoldi eigenvalue algorithm where several shifts (matrix factorizations) are used in one run. It corresponds to multipoint moment...
Axel Ruhe