نتایج جستجو برای: discriminator
تعداد نتایج: 2210 فیلتر نتایج به سال:
Generative adversarial networks (GAN) approximate a target data distribution by jointly optimizing an objective function through a "two-player game" between a generator and a discriminator. Despite their empirical success, however, two very basic questions on how well they can approximate the target distribution remain unanswered. First, it is not known how restricting the discriminator family ...
Hash tables are widely used in network applications, as they can achieve O(1) query, insert, and delete operations at moderate loads. However, at high loads, collisions are prevalent in the table, which increases the access time and induces non-deterministic performance. Slow rates and non-determinism can considerably hurt the performance and scalability of hash tables in the multi-threaded par...
This paper proposes an approach for applying GANs to NMT. We build a conditional sequence generative adversarial net which comprises of two adversarial sub models, a generator and a discriminator. The generator aims to generate sentences which are hard to be discriminated from human-translated sentences ( i.e., the golden target sentences); And the discriminator makes efforts to discriminate th...
We recently proposed that a nontemplate strand base in the discriminator region of bacterial promoters, the region between the 10 element and the transcription start site, makes sequence-specific contacts to region 1.2 of the subunit of Escherichia coli RNA polymerase (RNAP). Because rRNA promoters contain sequences within the discriminator region that are suboptimal for interaction with 1.2, t...
We consider the error floor of binary FSK due to intersymbol interference in time-dispersive mobile radio channels, with a limiter-discriminator-integrator detector. The errors are caused by bursts in the instantaneous frequency. We propose and verify that a nonlinear frequency discriminator can achieve zero error floor for pure FSK by clipping off these bursts. For filtered FSK, the error floo...
In this work, we present a novel approach for training Generative Adversarial Networks (GANs). Using the attention maps produced by a TeacherNetwork we are able to improve the quality of the generated images as well as perform weakly object localization on the generated images. To this end, we generate images of HEp-2 cells captured with Indirect Imunofluoresence (IIF) and study the ability of ...
BACKGROUND The aim of the present study was to determine the best anthropometric discriminators of type 2 diabetes mellitus (T2DM) among White and Black males and females in a large US sample. METHODS We used Atherosclerosis Risk in Communities study baseline data (1987-89) from 15 242 participants (1827 with T2DM) aged 45-65 years. Anthropometric measures included a body shape index (ABSI), ...
This paper observes that there is an issue of high frequencies missing in the discriminator standard GAN, and we reveal it stems from downsampling layers employed network architecture. makes generator lack incentive to learn high-frequency content data, resulting a significant spectrum discrepancy between generated images real images. Since Fourier transform bijective mapping, argue reducing th...
The beam spectrometer of the NA62 experiment has to sustain high and non-uniform beam rate (∼1.5 MHz/mm 2 in the hot center and 0.8-1.0 GHz in total, hence the name Gigatracker) and should preserve beam divergence and limit beam hadronic interactions. The Gigatracker has to provide precise momentum, time and angular measurements on every single track of the secondary 75 GeV/c hadron beam with a...
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