Results 31 to 40 of about 40,865 (297)
Facial Image Privacy Protection Based on Principal Components of Adversarial Segmented Image Blocks
The features in facial images, which are utilized for a variety of technological applications, pose a significant privacy concern for users. This paper proposes a method for protecting privacy in facial images based on the principal components of ...
Jingjing Yang, Jiaxing Liu, Jinzhao Wu
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A Logic for Dually Hemimorphic Semi-Heyting Algebras and its Axiomatic Extensions
The variety \(\mathbb{DHMSH}\) of dually hemimorphic semi-Heyting algebras was introduced in 2011 by the second author as an expansion of semi-Heyting algebras by a dual hemimorphism.
Juan Manuel Cornejo +1 more
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Each sensor node in WSN is typically equipped with a limited capacity small battery. Energy-efficient communication is therefore considered a key component of network life extension.
Hyunjoo Park, Junheon Jeon
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Recently, deep generative models using machine intelligence are widely utilized to investigate scientific systems by generating scientific data. In this study, we experiment with a hybrid model of a variational autoencoder (VAE) and a generative ...
S. M. Park +5 more
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Defect-aware Super-resolution Thermography by Adversarial Learning
Infrared thermography is a valuable non-destructive tool for inspection of materials. It measures the surface temperature evolution, from which hidden defects may be detected. Yet, thermal cameras typically have a low native spatial resolution resulting
Cheng Liangliang, Kersemans Mathias
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A Note on Regular De Morgan Semi-Heyting Algebras
The purpose of this note is two-fold. Firstly, we prove that the variety RDMSH1 of regular De Morgan semi-Heyting algebras of level 1 satisfies Stone identity and present (equational) axiomatizations for several subvarieties of RDMSH1.
Sankappanavar Hanamantagouda P.
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Shenzhen is a modern metropolis, but it hides a variety of valuable cultural heritage, such as ancient murals. How to effectively preserve and repair the murals is a worthy of discussion question. Here, we propose a generation-discriminator network model
Jiao Li +4 more
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Improving MMD-GAN Training with Repulsive Loss Function [PDF]
Generative adversarial nets (GANs) are widely used to learn the data sampling process and their performance may heavily depend on the loss functions, given a limited computational budget. This study revisits MMD-GAN that uses the maximum mean discrepancy
Halgamuge, Saman, Sun, Yuan, Wang, Wei
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Improving Face Recognition by Integrating Decision Forest into GAN
Posture variation and self-occlusion are well-known factors that can compromise the accuracy and robustness of face recognition systems. There are a variety of ways to combat the challenges listed above, include using Generative Adversarial Networks ...
Yea-Shuan Huang, Mahmood HB Alhlffee
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A Differentiable Generative Adversarial Network for Open Domain Dialogue [PDF]
Paper presented at the IWSDS 2019: International Workshop on Spoken Dialogue Systems Technology, Siracusa, Italy, April 24-26, 2019This work presents a novel methodology to train open domain neural dialogue systems within the framework of Generative ...
De Velasco Vázquez, Mikel +2 more
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