Articles with "variable model" as a keyword



Latent variable model of triarchic psychopathy constructs in an incarcerated offender sample: Factor reliability and validity.

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Published in 2022 at "Psychological assessment"

DOI: 10.1037/pas0001158

Abstract: The triarchic model of psychopathy posits that three distinct trait dispositions-disinhibition, meanness, and boldness-contribute to the interpersonal, affective, and impulsive-unrestrained features of this condition and is represented to varying degrees in all conceptualizations and measures… read more here.

Keywords: latent variable; factor; model triarchic; variable model ... See more keywords

A Latent Variable Model for Individual Degree Measures in Respondent-Driven Sampling.

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Published in 2025 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2025.2516185

Abstract: Abstract Respondent-driven sampling (RDS) is widely used to collect data from hidden populations in social and biomedical science. Although RDS may provide comprehensive coverage of the target hidden population through social network recruitment, its nonrandom… read more here.

Keywords: respondent driven; driven sampling; latent variable; variable model ... See more keywords

SMPL Variable Model for 3D Reconstruction and Image Fusion in Animation Media Applications

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3549466

Abstract: 3D human reconstruction is a pivotal research area in computer vision and computer graphics, with broad applications in fields such as virtual reality, animation media, and medical simulation. Traditional reconstruction approaches often rely on fixed-shape… read more here.

Keywords: smpl variable; reconstruction; animation media; model ... See more keywords

Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application

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Published in 2019 at "IEEE Transactions on Control Systems Technology"

DOI: 10.1109/tcst.2017.2767022

Abstract: Dynamic and uncertainty are two main features of the industrial process data which should be paid attention when carrying out process data modeling and analytics. In this paper, the dynamical and uncertain data characteristics are… read more here.

Keywords: variable model; latent variable; process data; probabilistic latent ... See more keywords

Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification

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Published in 2021 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2019.2915789

Abstract: Multiview learning has been widely studied in various fields and achieved outstanding performances in comparison to many single-view-based approaches. In this paper, a novel multiview learning method based on the Gaussian process latent variable model… read more here.

Keywords: latent variable; latent; variable model; process latent ... See more keywords