Multistage committees of deep feedforward convolutional sparse denoise autoencoder for object recognition

Deep learning and unsupervised feature learning systems are known to achieve good performance in benchmarks by using extremely large architectures with many features at each layer. However, we found that the number of features' contribution to performance is very small when it is more than the...

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Bibliographic Details

Published in:	2015 Chinese Automation Congress (CAC) pp. 565 - 570
Main Authors:	Shicao Luo, Yongsheng Ding, Kuangrong Hao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2015
Subjects:	Convolution deep learning Encoding Feature extraction Kernel multistage classifiers Noise reduction object recognition Robustness sparse denoise autoencoder Training
Online Access:	Get full text
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