نتایج جستجو برای: discriminator
تعداد نتایج: 2210 فیلتر نتایج به سال:
Artificial Organoleptic Systems are being used today for a variety of detection tasks from quality control of food products to medical diagnosis. The optimization of sample preparation, signal processing, feature extraction, classifier are as important as choice of sensors within the array in enhancing the performance of the organoleptic system. It is difficult to determine if all features cons...
The extended BOC-PRN discriminator is shown to work efficiently for the new cosine phased binary-offset carrier BOC(f s ,f c) signals defined for global navigation satellite systems, where, n (=2f s /f c) is an arbitrary even integer. The new unambiguous code discriminator provides good multipath mitigation performance for medium delays.
To investigate roles of the discriminator and open complex (OC) lifetime in transcription initiation by Escherichia coli RNA polymerase (RNAP; α2ββ'ωσ70), we compare productive and abortive initiation rates, short RNA distributions, and OC lifetime for the λPR and T7A1 promoters and variants with exchanged discriminators, all with the same transcribed region. The discriminator determines the OC...
We propose in this paper a novel approach to tackle the problem of mode collapse encountered in generative adversarial network (GAN). Our idea is intuitive but proven to be very effective, especially in addressing some key limitations of GAN. In essence, it combines the Kullback-Leibler (KL) and reverse KL divergences into a unified objective function, thus it exploits the complementary statist...
Triplet networks are widely used models that are characterized by good performance in classification and retrieval tasks. In this work we propose to train a triplet network by putting it as the discriminator in Generative Adversarial Nets (GANs). We make use of the good capability of representation learning of the discriminator to increase the predictive quality of the model. We evaluated our a...
The universal algebraic literature is rife with generalisations of discriminator varieties, whereby several investigators have tried to preserve in more general settings as much as possible of their structure theory. Here, we modify the definition of discriminator algebra by having the switching function project onto its third coordinate in case the ordered pair of its first two coordinates bel...
Generative adversarial networks (GANs) have demonstrated to be successful at generating realistic real-world images. In this paper we compare various GAN techniques, both supervised and unsupervised. The effects on training stability of different objective functions are compared. We add an encoder to the network, making it possible to encode images to the latent space of the GAN. The generator,...
The anticodon and discriminator base are important for aminoacylation of Escherichia coli tRNA(Asn).
A gel shift assay that distinguishes the aminoacylated form from the deacylated form of tRNAs was used to study the requirements for aminoacylation of Escherichia coli tRNA(Asn) in vivo. tRNA(Asn) derivatives containing single base changes in their anticodons or discriminator bases were constructed, and the extent of in vivo aminoacylation was determined directly. Substitution of U35 with C35 o...
Generative Adversarial Networks (GANs) have shown impressive performance in producing images highly similar to original dataset under unsupervised learning. However, the losses of discriminator and generator are highly fluctuated, which affects the quality of fake images produced by the generator. In this work, we propose Face Generative Adversarial Networks (FaceGANs). Compared to the conventi...
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