Results 31 to 40 of about 40,626 (268)
Equationally Complete Discriminator Varieties of Groupoids [PDF]
J. Kalicki proved that there are continuum many equationally complete varieties of groupoids. In this note we give a constructive proof of this by defining a countable partial groupoid which has continuum many completions such that each completion generates an equationally complete variety, and no two distinct completions generate the same variety ...
openaire +2 more sources
This paper proposes a novel approach for generating 3-dimensional complex geological facies models based on deep generative models. It can reproduce a wide range of conceptual geological models while possessing the flexibility necessary to honor ...
Tuan-Feng Zhang +5 more
doaj +1 more source
Ensuring satisfied, committed shoppers - store variety or entertainment? [PDF]
In the competitive retail environment, attracting and retaining shoppers is imperative for the success of shopping malls. Therefore, creating satisfied, committed shoppers is essential for mall survival.
M Wiese
doaj
Image-to-Image Translation with Conditional Adversarial Networks
We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping.
Efros, Alexei A. +3 more
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Single-Image Super Resolution of Remote Sensing Images with Real-World Degradation Modeling
Limited resolution is one of the most important factors hindering the application of remote sensing images (RSIs). Single-image super resolution (SISR) is a technique to improve the spatial resolution of digital images and has attracted the attention of ...
Jizhou Zhang +4 more
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Decompositions of dual discriminator varieties [PDF]
A necessary and sufficient condition for a dual discriminator variety to be the product of a discriminator variety and a dual discriminator variety is given, along with an example of such a variety.
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Adversarial Discriminative Domain Adaptation
Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains. They also can improve recognition despite the presence of domain shift or dataset bias: several adversarial ...
Darrell, Trevor +3 more
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Background: Mechanical circulatory support (MCS) in pediatric patients remains challenging because of small body size, limited availability of approved devices, and the variety of etiologies, including biventricular and univentricular physiologies.
Marcus Granegger, PhD +8 more
doaj +1 more source
Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning
In recent years, visual-based sign language recognition (SLR) has become an active research area with the advancement of deep learning. However, it is difficult to collect sign language data, and many datasets suffer from data lack and imbalance, leading
Yuriya Nakamura, Lei Jing
doaj +1 more source
One-Class Classification Using Generative Adversarial Networks
One-class classification (OCC) problem has drawn increasing attention in recent years. It expands the range of classification from pre-defined categories to undefined categories.
Yang Yang +4 more
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