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Multi-Instance Dimensionality Reduction

Published in Proceedings of the AAAI Conference on Artificial Intelligence • Jul 3, 2010
NobleIDNI7P61W32R98S65
Authors:
Yuyin Sun
,
Michael K. Ng
,
Zhi‐Hua Zhou

Abstract

Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step for high-dimensional data analysis and has been studied for years. The curse of dimensionality also exists in multiinstan...

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