Results 21 to 30 of about 186,339 (256)
IEEE Access, 2020 Image interpolation is often implemented using one of two methods: optical flow or convolutional neural networks. These methods are typically pixel-based; they do not work well on objects between images far apart.
Paulino Cristovao +3 more
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Jurnal Elemen, 2023 Several types of research showed math anxiety as the learning outcome, but another showed that as the predictor variable. Math anxiety was predicted based on other variables, such as self-regulated learning and self-concept.
Dian Cahyawati +2 more
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Modeling of Wastewater Treatment Processes Using Dynamic Bayesian Networks Based on Fuzzy PLS
IEEE Access, 2020 The complicated characteristics of wastewater treatment plants (WWTPs) significantly hinder the monitoring of industrial processes, and thus much attention has been paid to process modeling and prediction.
Hongbin Liu +4 more
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IDENTIFIABILITY OF STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2019 In this paper the problem of identifiability of structural equation models with latent variables is considered. The conditions of the almost everywhere local identifiability for such models are obtained.
Sergei Stafeev
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International Journal of Transportation Science and Technology, 2023 This paper aims to estimate segments of latent variables associated with mode choice. The estimates of latent segmentation is obtained through Structural Equation Modelling (SEM) approach.
Bharvi A. Shah, L.B. Zala, Nipa A. Desai
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Sensors, 2019 Recently, data from built-in sensors in smartphones have been readily available, and analyzing data for various types of health information from smartphone users has become a popular health care application area. Among relevant issues in the area, one of
Jaein Kim +5 more
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Entropy, 2021 The Variational AutoEncoder (VAE) has made significant progress in text generation, but it focused on short text (always a sentence). Long texts consist of multiple sentences.
Kun Zhao +3 more
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Recovering Latent Variables by Matching [PDF]
Journal of the American Statistical Association, 2020 We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent latent variables. The method consists in generating pseudo-observations from the latent variables, so that the Euclidean distance between the model's predictions and their matched counterparts in the data is minimized.
Arellano, Manuel, Bonhomme, Stéphane
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Pyramid-VAE-GAN: Transferring hierarchical latent variables for image inpainting
Computational Visual Media, 2023 Significant progress has been made in image inpainting methods in recent years. However, they are incapable of producing inpainting results with reasonable structures, rich detail, and sharpness at the same time. In this paper, we propose the Pyramid-VAE-
Huiyuan Tian +4 more
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Latent Variable Forests for Latent Variable Score Estimation
Educational and Psychological MeasurementWe develop a latent variable forest (LV Forest) algorithm for the estimation of latent variable scores with one or more latent variables. LV Forest estimates unbiased latent variable scores based on confirmatory factor analysis (CFA) models with ordinal and/or numerical response variables.
Classe, Franz, Kern, Christoph
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