A Sparse Representation for Function Approximation
- 1 August 1998
- journal article
- Published by MIT Press in Neural Computation
- Vol. 10 (6) , 1445-1454
- https://doi.org/10.1162/089976698300017250
Abstract
We derive a new general representation for a function as a linear combination of local correlation kernels at optimal sparse locations (and scales) and characterize its relation to principal component analysis, regularization, sparsity principles, and support vector machines.Keywords
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