Nonlinear Dimensionality Reduction by Manifold Unfolding
Every second, an enormous volume of data is being gathered from various sources and stored in huge data banks. Most of the time, monitoring a data source requires several parallel measurements, which form a high-dimensional sample vector. Due to the curse of dimensionality, applying machine learning...
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| Language: | en |
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2013
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| Online Access: | http://hdl.handle.net/10012/7947 |