Nonlinear Learning using Local Coordinate Coding
Abstract
This paper introduces a new method for semi-supervised learning on high dimensional nonlinear manifolds, which includes a phase of unsupervised basis learning and a phase of supervised function learning. The learned bases provide a set of anchor points to form a local coordinate system, such that each data point x on the manifold can be locally approximated by a linear combination of its nearby anchor points, and the linear weights become its...
Paper Details
Title
Nonlinear Learning using Local Coordinate Coding
Published Date
Dec 7, 2009
Volume
22
Pages
2223 - 2231
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