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Deep Learning of Part-based Representation of Data Using Sparse
  Autoencoders with Nonnegativity Constraints

Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints

12 January 2016
Ehsan Hosseini-Asl
J. Zurada
O. Nasraoui
    BDL
ArXivPDFHTML

Papers citing "Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints"

5 / 5 papers shown
Title
Nonparametric Learning of Two-Layer ReLU Residual Units
Nonparametric Learning of Two-Layer ReLU Residual Units
Zhunxuan Wang
Linyun He
Chunchuan Lyu
Shay B. Cohen
MLT
OffRL
157
1
0
17 Aug 2020
Nonnegative autoencoder with simplified random neural network
Nonnegative autoencoder with simplified random neural network
Yonghua Yin
E. Gelenbe
44
15
0
25 Sep 2016
k-Sparse Autoencoders
k-Sparse Autoencoders
Alireza Makhzani
Brendan J. Frey
92
452
0
19 Dec 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
447
7,660
0
03 Jul 2012
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
250
12,431
0
24 Jun 2012
1