Search Results - Dual variational-autoencoder

Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings by Yang, Lin, Fan, Wentao, Bouguila, Nizar

“… embeddings from original data. This article proposes a novel clustering method based on variational autoencoder (VAE…”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Khan, Wasim, Haroon, Mohammad, Khan, Ahmad Neyaz, Hasan, Mohammad Kamrul, Khan, Asif, Mokhtar, Umi Asma, Islam, Shayla

“…A significant aspect of today's digital information is attributed networks, which combine multiple node attributes with the basic network topology to extract…”
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Anomalous node detection in attributed social networks using dual variational autoencoder with generative adversarial networks by Khan, Wasim, Abidin, Shafiqul, Arif, Mohammad, Ishrat, Mohammad, Haleem, Mohd, Shaikh, Anwar Ahamed, Farooqui, Nafees Akhtar, Faisal, Syed Mohd

“…Many types of real-world information systems, including social media and e-commerce platforms, can be modelled by means of attribute-rich, connected networks…”
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Inverse design of non-parametric acoustic metamaterials via transfer-learned dual variational autoencoder with latent space-based data augmentation by Ko, Keon, Cho, Min Woo, Song, Kyungjun, Park, Dong Yong, Park, Sang Min

“… To address this challenge, we propose a novel inverse design framework for non-parametric VAR, composed of a dual-variational autoencoder (Dual…”
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Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain Generalization by Luo, Ying, Kang, Guoliang, Liu, Kexin, Zhuang, Fuzhen, Lu, Jinhu

“… DualVAE is based on the variational autoencoder (VAE) architecture. However, it differs from the conventional…”
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DVAE-GNN: a dual variational autoencoder graph neural network for unsupervised anomaly detection in static attributed networks by Piridi, Hari Prasad, Chakraborty, Dipanjan, Upadhyay, Prajna Devi

“… both structural and contextual anomalies. To address these challenges, we introduce the Dual Variational Autoencoder Graph Neural Network (DVAE-GNN…”
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Learning and Predicting Photonic Responses of Plasmonic Nanoparticle Assemblies via Dual Variational Autoencoders by Yaman, Muammer Y., Kalinin, Sergei V., Guye, Kathryn N., Ginger, David S., Ziatdinov, Maxim

“…The application of machine learning is demonstrated for rapid and accurate extraction of plasmonic particles cluster geometries from hyperspectral image data via a dual variational autoencoder (dual‐VAE…”
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Emotional Dialogue Generation Based on Conditional Variational Autoencoder and Dual Emotion Framework by Lan, Rushi, Huang, Wenming, Lin, Hongquan, Deng, Zhenrong, Luo, Xiaonan

“… However, despite much work, these two problems have not been solved. In this paper, we propose a model based on conditional variational autoencoder and dual emotion framework (CVAE-DE…”
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Dmvae: a dual-stream multi-modal variational autoencoder for multi-task fake news detection by Guo, Ying, Hu, Shuting, Li, Yao, Di, Chong, Liu, Jie

“…The proliferation of fake news on social media platforms, facilitated by the development of the Internet, has become a pressing social issue, intensifying the…”
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Dual-granularity multi-instance multi-label learning with variational autoencoder by Wang, Meixia, Zhao, Yuhai, Wang, Yejiang, Huang, Miaomiao, Liu, Xuze, Wang, Xingwei

“…Multi-instance multi-label learning (MIML) is a weakly supervised approach that models relationships between complex objects and multiple labels, where each…”
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Dual Branch Feature Representation and Variational Autoencoder for Panchromatic and Multispectral Classification by Ma, Wenping, Jing, Runzhe, Zhu, Hao, Wu, Huanhuan, Guo, Yanshan, Yi, Xiaoyu, Guo, Pute, Wu, Yue

“…In recent years, owing to the swift progression in sensor technology and the extensive utilization of remote sensing imagery, obtaining and using high-quality…”
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Reference-based Image Super-Resolution by Dual-Variational AutoEncoder by Yang, Mengyao, Qi, Junpeng

“… In this paper, we design a Dual-Variational AutoEncoder (DVAE) for reference-based image super-resolution task, which can learn the high-frequency information and latent…”
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Dual-Encoder Physics-Informed Variational Autoencoders for robust forward and inverse SDE solving under noisy measurements by Wang, Lin, Yang, Min

“… In this study, we propose a Dual-Encoder Physics-Informed Variational AutoEncoder (DE-PIVAE) framework that explicitly disentangles latent noise from physical variables…”
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Dual-Channel Target Speaker Extraction Based on Conditional Variational Autoencoder and Directional Information by Wang, Rui, Li, Li, Toda, Tomoki

“… However, TSE under the underdetermined conditions is still a challenge. In this paper, we deal with a dual-channel TSE problem under underdetermined conditions…”
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A Few Shot Partial Discharge Diagnosis Method Based on Dual-Path Variational Autoencoder by Li, Yu'ang, Yang, Jingli, Cui, Zheng, Wang, Changdong, Gao, Tianyu, Liu, Siyuan, Shu, Zhou

“… This paper proposes a novel dual Variational Autoencoder (VAE) framework integrating a normal VAE for data augmentation and a Semi-supervised VAE for fault detection…”
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Bootstrapping Blind Equalizer for Dual-Polarization Coherent FSO Systems via Modulus Rings-based Variational Autoencoder by Qin, Guojin, Wei, Yuan, Tang, Ziqi, Zhang, Junwen, Wei, Fang, Chi, Nan, Shi, Jianyang

“… In this article, two novel blind variational autoencoder (VAE) equalizers are proposed for dual-polarization (DP…”
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Robust One-Shot Brain Tissue Segmentation via Patch-wise Contrastive Learning and Dual-Head Variational Autoencoder by Zhou, Feng, Xi, Fengjun, Zhou, Yanjie, Hu, Di, Tu, Liyun, Peng, Yun

“… Our approach features a novel synthesis module based on patch-wise contrastive learning for generating realistic, well-labeled training samples, followed by a dual-head Variational AutoEncoder (VAE…”
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Dual Sparse Variational Autoencoder-driven Interactive Estimation of Distribution Algorithm with User Generated Contents by Yang, Hang, Bao, Lin, Sun, XiaoYan, Peng, YuMeng

“… challenges.This paper proposed a dual sparse variational autoencoder-driven interactive estimation of distribution algorithm with user generated contents, which considers digging deeper into user generated…”
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DPV-VPP: A Dual-Layer Video Privacy Protection Model Design Combining Differential Privacy and Variational Autoencoder-Based Face Replacement by Wu, Junfeng

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An efficient framework for anomaly detection in attributed social networks by Khan, Wasim, Haroon, Mohammad

“… First, our framework utilizes a dual variational…”
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