CORR
8 years 6 months ago
2016 Springer 
Image-generating machine learning models are typically trained with loss functions based on distance in the image space. This often leads to over-smoothed results. We propose a cl...
CORR
8 years 6 months ago
2016 Springer
We propose to model the acoustic space of deep neural network (DNN) class-conditional posterior probabilities as a union of lowdimensional subspaces. To that end, the training pos...
CORR
8 years 6 months ago
2016 Springer 
The goal of this paper is to present a non-iterative and more importantly an extremely fast algorithm to reconstruct images from compressively sensed (CS) random measurements. To ...
CORR
8 years 6 months ago
2016 Springer
Abstract—Channel covariance is emerging as a critical ingredient of the acquisition of instantaneous channel state information (CSI) in multi-user Massive MIMO systems operating ...
CORR
8 years 6 months ago
2016 Springer 
Abstract—We demonstrate a new deep learning autoencoder network, trained by a nonnegativity constraint algorithm (NCAE), that learns features which show part-based representation...
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