ML Anthology

Learning the Structure of Manifolds Using Random Projections

Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma
NeurIPS 2007 pp. 473-480
/neurips/2007/freund2007neurips-learning/

Abstract

We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.

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Cite

Text

Freund et al. "Learning the Structure of Manifolds Using Random Projections." Neural Information Processing Systems, 2007.

Markdown

[Freund et al. "Learning the Structure of Manifolds Using Random Projections." Neural Information Processing Systems, 2007.](https://mlanthology.org/neurips/2007/freund2007neurips-learning/)

BibTeX

@inproceedings{freund2007neurips-learning,
  title     = {{Learning the Structure of Manifolds Using Random Projections}},
  author    = {Freund, Yoav and Dasgupta, Sanjoy and Kabra, Mayank and Verma, Nakul},
  booktitle = {Neural Information Processing Systems},
  year      = {2007},
  pages     = {473-480},
  url       = {https://mlanthology.org/neurips/2007/freund2007neurips-learning/}
}