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About Deep Learning With Nonparametric Clustering: Gang Chen
This document proposes a deep belief network model with nonparametric clustering for unsupervised learning. It first uses an unsupervised deep belief network to learn features from the data. It then performs nonparametric clustering on the learned features under a maximum margin framework. Finally, it refines the model parameters in the deep belief network. The model leverages unsupervised feature learning from deep learning and nonparametric clustering in a unified framework. Experimental results show advantages over baseline methods.
Detailed Information
| Author: | ['pog'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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