论文信息 - Using Bilevel Feature Extractors to Reduce Dimensionality in Images

Using Bilevel Feature Extractors to Reduce Dimensionality in Images

A bilevel procedure for dimensionality reduction makes it possible to discover the underlying global geometry of a complex natural observations dataset-such as human handwriting or faces under different viewing positions-with higher precision than existing methods.

Michel Gendreau | Marc Joliveau

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