Discriminator

In distributed computing, a discriminator is a typed tag field present in OMG IDL discriminated union type and value definitions that determines… (More)
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Despite the breakthroughs in accuracy and speed of single image super-resolution using faster and deeper convolutional neural… (More)
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2017
2017
We propose in this paper a novel approach to tackle the problem of mode collapse encountered in generative adversarial network… (More)
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Highly Cited
2017
Highly Cited
2017
Generative Adversarial Networks (GANs) are powerful generative models, but suffer from training instability. The recently… (More)
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Highly Cited
2014
Highly Cited
2014
Generative Adversarial Nets [8] were recently introduced as a novel way to train generative models. In this work we introduce the… (More)
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Highly Cited
2013
Highly Cited
2013
Any assessment of classification techniques requires data. This document describes sets of data intended to aid in the assessment… (More)
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Highly Cited
2006
Highly Cited
2006
We propose a novel approach to generating ultrawideband impulse radio signals in the optical domain. The proposed system consists… (More)
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Highly Cited
2005
Highly Cited
2005
Over the last several years, major efforts have been made to develop methods for extracting information from audiovisual media… (More)
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Highly Cited
2004
Highly Cited
2004
The present paper presents a model for texture discrimination based on Gabor functions. In this model the Gabor power spectrum of… (More)
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Highly Cited
2004
Highly Cited
2004
How well can a QSAR model predict the activity of a molecule not in the training set used to create the model? A set of… (More)
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Highly Cited
1997
Highly Cited
1997
We report on the construction of a real-time computer system capable of distinguishing speech signals from music signals over a… (More)
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