218 citations · 333 across the 6 of their papers we have counts for
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cs.LG2016★ 1 cited
Structured Sparse Convolutional Autoencoder
Ehsan Hosseini-Asl
This paper aims to improve the feature learning in Convolutional Networks (Convnet) by capturing the structure of objects. A new sparsity function is imposed on the extracted featu…
cs.LG2016★ 218 cited
Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints
Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui
We demonstrate a new deep learning autoencoder network, trained by a nonnegativity constraint algorithm (NCAE), that learns features which show part-based representation of data. T…