Highly Influenced

# Dimensionality-Reduction Using Connectionist Networks

@article{Saund1989DimensionalityReductionUC, title={Dimensionality-Reduction Using Connectionist Networks}, author={Eric Saund}, journal={IEEE Trans. Pattern Anal. Mach. Intell.}, year={1989}, volume={11}, pages={304-314} }

- Published 1989 in IEEE Trans. Pattern Anal. Mach. Intell.
DOI:10.1109/34.21799

A method is presented for using connectionist networks of simple computing elements to discover a particular type of constraint in multidimensional data. Suppose that some data source provides samples consisting of n-dimensional feature-vectors, but that this data all happens to lie on an rn-dimensional surface embedded in the k-dimensional feature space. Then occurrences of data can be more concisely described by specifying an rn-dimensional location on the embedded surface than by reciting… CONTINUE READING