Výsledky vyhľadávania - "convolutional variational autoencoders"

Evolving Deep Convolutional Variational Autoencoders for Image Classification Autor Chen, Xiangru, Sun, Yanan, Zhang, Mengjie, Peng, Dezhong

“…Variational autoencoders (VAEs) have demonstrated their superiority in unsupervised learning for image processing in recent years. The performance of the VAEs…”
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Robust Spectral Anomaly Detection in EELS Spectral Images via 3D Convolutional Variational Autoencoders Autor Sultanov, Seyfal, Ayyubi, R. A. W., Buban, James P., Klie, Robert F.

“…A 3D Convolutional Variational Autoencoder (3D‐CVAE) is introduced for automated anomaly detection in electron energy…”
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Investigation of convolutional variational autoencoders for facies calibration within ensemble-smoother multiple data assimilation Autor Abbate, Emanuela, Dovera, Laura, Di Curzio, Davide, Da Pra, Andrea

“… In this work, we treat 3D synthetic reservoir images with channelized facies adopting a Convolutional Variational AutoEncoder (CVAE…”
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Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders Autor Mishra, Aditya, Samin, Ahnaf Mozib, Etemad, Ali, Hashemi, Javad

“…We propose GC-VASE, a graph convolutional-based variational autoencoder that leverages contrastive learning for subject representation learning from EEG data…”
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Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands Autor Ahmed, Taufique, Longo, Luca

“…Dimensionality reduction and the automatic learning of key features from electroencephalographic (EEG) signals have always been challenging tasks. Variational…”
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Real-time unsupervised monitoring of earth pressure balance shield-induced sinkholes in mixed-face ground conditions via convolutional variational autoencoders Autor Loy-Benitez, Jorge, Lee, Hyun-Koo, Song, Myung Kyu, Lee, Je-Kyum, Lee, Sean Seungwon

“…•VAE-CNN architecture manages TBM data dynamics for sinkhole event monitoring.•Offline modeling trains the proposed method with sinkhole absence data.•Online…”
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Convolutional Variational Autoencoders and Resampling Techniques with Generative Adversarial Network for Enhancing Internet of Thing Security Autor Dong, Huiyao, Kotenko, I. V.

“… This paper ultilizes convolutional variational autoencoders and resampling techniques for network attacks detection…”
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LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows Autor Orzari, Breno, Chernyavskaya, Nadezda, Cobe, Raphael, Duarte, Javier, Fialho, Jefferson, Gunopulos, Dimitrios, Kansal, Raghav, Pierini, Maurizio, Tomei, Thiago, Touranakou, Mary

“…In high energy physics, one of the most important processes for collider data analysis is the comparison of collected and simulated data. Nowadays the…”
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Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility Autor Ahmed, Taufique, Longo, Luca

“…Dimensionality reduction and producing simple representations of electroencephalography (EEG) signals are challenging problems. Variational autoencoders (VAEs)…”
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LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows Autor Orzari, Breno, Chernyavskaya, Nadezda, Cobe, Raphael, Duarte, Javier, Fialho, Jefferson, Gunopulos, Dimitrios, Kansal, Raghav, Pierini, Maurizio, Tomei, Thiago, Touranakou, Mary

“…In high energy physics, one of the most important processes for collider data analysis is the comparison of collected and simulated data. Nowadays the…”
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Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer Autor Jaen-Lorites, Jose Manuel, Perez-Pelegri, Manuel, Laparra, Valero, Lopez-Lereu, Maria Pilar, Monmeneu, Jose Vicente, Maceira, Alicia M., Moratal, David

“… Convolutional Variational Autoencoder (CVAe) is a deep learning technique which allows to generate synthetic images, but sometimes the synthetic images can be slightly blurred…”
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Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition Autor Iakovenko, Olga, Bondarenko, Ivan

“…), but in practice they are hard to use due to a complex dimensionality of a feature space. The following paper presents an alternative approach towards generating compressed spectrogram representation, based on Convolutional Variational Autoencoders (VAE…”
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Scalable Graph Convolutional Variational Autoencoders Autor Unyi, Daniel, Gyires-Toth, Balint

“…Autoencoders are widely used for self-supervised representation learning. Variational autoencoders (VAEs), a special type of autoencoders, are proven to be…”
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Convolutional Variational Autoencoders for Image Clustering Autor Nellas, Ioannis A., Tasoulis, Sotiris K., Plagianakos, Vassilis P.

“…The problem of data clustering is one of the most fundamental and well studied problems of unsupervised learning. Image clustering, refers to one of the most…”
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Image De-Noising Using Convolutional Variational Autoencoders Autor Sreeteish, M

“…Typically, image noise is random colour information in picture pixels that serves as an unfavourable by-product of the image, obscuring the intended…”
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On the Exploration of Convolutional Variational Autoencoders for Analog Integrated Circuit Post-Placement Performance Regression Autor Almeida, Carlos, Oliveira, Marco, Martins, Ricardo

“… Here, deep learning (DL) models, namely convolutional variational autoencoders (VAEs) and multi-layer perceptrons…”
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DiffuScope: A diffusion-regularized autoencoder for spatial transcriptomic clustering Autor Shi, Hua, Yi, Ding, Cui, Yang, Wang, Ruheng, Li, Yan, Ao, Chunyan, Guo, Ruihua, Zhang, Weihang, Peng, Tao, Le, Yuying, Cui, Yaxuan, Wei, Leyi

“… To address this challenge, we propose DiffuScope, a clustering framework based on Graph Convolutional Variational Autoencoders (GC-VAE…”
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Denoising Convolutional Variational Autoencoders-Based Feature Learning for Automatic Detection of Plant Diseases Autor Zilvan, Vicky, Ramdan, Ade, Suryawati, Endang, Kusumo, R. Budiarianto S., Krisnandi, Dikdik, Pardede, Hilman F.

“…Early detection is critical for maintaining quantity and quality of farming commodity. Currently, detection of plant diseases still requires human expertise…”
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Ship Detection in SAR Images Using Convolutional Variational Autoencoders Autor Ferreira, Nuno, Silveira, Margarida

“… We first learn representations of the SAR images with a convolutional Variational Autoencoder…”
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LHC Hadronic Jet Generation Using Convolutional Variational Autoencoders with Normalizing Flows Autor Orzari, Breno, Chernyavskaya, Nadezda, Cobe, Raphael, Duarte, Javier, Fialho, Jefferson, Gunopulos, Dimitrios, Kansal, Raghav, Pierini, Maurizio, Tomei, Thiago, Touranakou, Mary

“…In high energy physics, one of the most important processes for collider data analysis is the comparison of collected and simulated data. Nowadays the…”
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