Dimension Reduction in Text Classification with Support Vector Machines
The Journal of Machine Learning Research
Adaptive Nonlinear Discriminant Analysis by Regularized Minimum Squared Errors
IEEE Transactions on Knowledge and Data Engineering
Computing orthogonal decompositions of block tridiagonal or banded matrices
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
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An updating scheme for a quotient type generalization of a URV decomposition of two matrices is introduced. This decomposition allows low complexity updating as rows are added to two rectangular matrices, determining the dimension of three distinct subspaces. One of these subspaces is the intersection of the range space of the two matrices---information which leads to a potential application in subspace algorithms for system identification.