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CORR
2016
Springer
150views Education» more  CORR 2016»
2 years 8 months ago
Generating Images with Perceptual Similarity Metrics based on Deep Networks
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...
Alexey Dosovitskiy, Thomas Brox
TKDD
2016
125views Education» more  TKDD 2016»
2 years 8 months ago
Adaptive Model Rules From High-Speed Data Streams
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...
João Duarte, João Gama, Albert Bifet
CORR
2016
Springer
122views Education» more  CORR 2016»
2 years 8 months ago
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition
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...
Pranay Dighe, Gil Luyet, Afsaneh Asaei, Herv&eacut...
CORR
2016
Springer
118views Education» more  CORR 2016»
2 years 8 months ago
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements
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 ...
Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ro...
CORR
2016
Springer
112views Education» more  CORR 2016»
2 years 8 months ago
Channel Covariance Estimation in Massive MIMO Frequency Division Duplex Systems
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 ...
Alexis Decurninge, Maxime Guillaud, Dirk T. M. Slo...
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