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19

COLT
2006
Springer

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Improving Random Projections Using Marginal Information

14 years 7 days ago

Improving Random Projections Using Marginal Information

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Abstract. We present an improved version of random projections that takes advantage of marginal norms. Using a maximum likelihood estimator (MLE), marginconstrained random projections can improve estimation accuracy considerably. Theoretical properties of this estimator are analyzed in detail.

Ping Li, Trevor Hastie, Kenneth Ward Church

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COLT 2006 | Machine Learning | Marginal Norms | Maximum Likelihood Estimator | Random Projections |

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Added	20 Aug 2010
Updated	20 Aug 2010
Type	Conference
Year	2006
Where	COLT
Authors	Ping Li, Trevor Hastie, Kenneth Ward Church

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