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Improved learning of Riemannian metrics for exploratory analysis

Neural Networks, no. 8 (2005): 1087-1100

被引用59|浏览18
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摘要

We have earlier introduced a principle for learning metrics, which shows how metric-based methods can be made to focus on discriminative properties of data. The main applications are in supervising unsupervised learning to model interesting variation in data, instead of modeling all variation as plain unsupervised learning does. The metri...更多

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