Uncertainty in Artificial Intelligence
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Experiments with Random Projection
Sanjoy Dasgupta
Abstract:
Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gausians. Here we summarize these results and illustrate them by a wide variety of experiments on synthetic and real data.
Keywords:
Pages: 143-151
PS Link: http://www.research.att.com/~dasgupta/randomf.ps
PDF Link: /papers/00/p143-dasgupta.pdf
BibTex:
@INPROCEEDINGS{Dasgupta00,
AUTHOR = "Sanjoy Dasgupta ",
TITLE = "Experiments with Random Projection",
BOOKTITLE = "Proceedings of the Sixteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-00)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "2000",
PAGES = "143--151"
}


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