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Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.

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ehosseiniasl/Nonnegativity-Constrained-Autoencoder-NCAE

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Nonnegativity-Constrained-Autoencoder-NCAE

Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Part-based Deep Learning.

Reference:

[1] Hosseini-Asl, E.; Zurada, J.M.; Nasraoui, O., "Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints," in Neural Networks and Learning Systems, IEEE Transactions on , vol.PP, no.99, pp.1-13 doi: 10.1109/TNNLS.2015.2479223 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7310882&isnumber=6104215

[2] UFLDL Tutorial, http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial

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Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.

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