SqueezeFit: Label-aware dimensionality reduction by semidefinite programming

Culver McWhirter
Culver McWhirter

arXiv: Machine Learning, Volume abs/1812.02768, 2018.

Cited by: 5|Bibtex|Views11|Links
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Abstract:

Given labeled points in a high-dimensional vector space, we seek a low-dimensional subspace such that projecting onto this subspace maintains some prescribed distance between points of differing labels. Intended applications include compressive classification. Taking inspiration from large margin nearest neighbor classification, this pape...More

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