A deep contractive autoencoder for solving multiclass classification problems
Contractive auto encoder (CAE) is on of the most robust variant of standard Auto Encoder (AE). The major drawback associated with the conventional CAE is its higher reconstruction error during encoding and decoding process of input features to the network. This drawback in the operational procedure...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2020
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6386/1/AJ%202020%20%28313%29.pdf http://eprints.uthm.edu.my/6386/ https://doi.org/10.1007/s12065-020-00424-6 |
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