294
Voted
CORR
10 years 14 hour 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...
561
Voted
TKDD
9 years 11 months ago
2016
The volume and velocity of data is increasing at astonishing rates. In order to extract knowledge from this huge amount of information there is a need for efficient on-line learni...
119
Voted
CORR
10 years 12 hour 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...
137
Voted
CORR
10 years 15 hour 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 ...
127
Voted
CORR
10 years 14 hour 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 ...
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