Discriminative feature extraction with Deep Neural Networks
| Autor: | Jens Lippel, Thomas Zielke, André Stuhlsatz |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
business.industry
Deep learning Computer Science::Neural and Evolutionary Computation Feature extraction Boltzmann machine Pattern recognition Machine learning computer.software_genre Backpropagation Stochastic programming Discriminative model Deep neural networks Stochastic optimization Artificial intelligence business computer Mathematics |
| Zdroj: | IJCNN |
| DOI: | 10.1109/ijcnn.2010.5596329 |
| Popis: | We propose a framework for optimizing Deep Neural Networks (DNN) with the objective of learning low-dimensional discriminative features from high-dimensional complex patterns. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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