Results 11 to 20 of about 4,033,484 (300)
Multimodal latent variable analysis [PDF]
Signal Processing, 2018 Consider a set of multiple, multimodal sensors capturing a complex system or a physical phenomenon of interest. Our primary goal is to distinguish the underlying sources of variability manifested in the measured data. The first step in our analysis is to find the common source of variability present in all sensor measurements.
Vardan Papyan, Ronen Talmon
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Method for estimating disease risk from microbiome data using structural equation modeling
Frontiers in Microbiology, 2023 The relationship between the human gut microbiota and disease is of increasing scientific interest. Previous investigations have focused on the differences in intestinal bacterial abundance between control and affected groups to identify disease ...
Hidetaka Tokuno +6 more
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An Algorithm for Learning Causal Structure of Latent Variables with Arbitrary Distribution [PDF]
Jisuanji gongcheng, 2022 Causal discovery refers to mining the causal relationship between variables through observation data.In practical application, it needs to learn the causal structure between hidden variables from observation data.Some existing methods mainly address the ...
HAO Zhifeng, CHEN Zhengming, XIE Feng, CHEN Wei, CAI Ruichu
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A constrained latent variable model [PDF]
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012 Latent variable models provide valuable compact representations for learning and inference in many computer vision tasks. However, most existing models cannot directly encode prior knowledge about the specific problem at hand. In this paper, we introduce a constrained latent variable model whose generated output inherently accounts for such knowledge ...
Varol, Aydin +3 more
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Latent variable models for mixed manifest variables [PDF]
, 1996 Latent variable models are widely used in social sciences in which interest is centred on entities such as attitudes, beliefs or abilities for which there e)dst no direct measuring instruments.
Moustaki, Irini
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Latent variable modeling for the microbiome [PDF]
Biostatistics, 2018 SummaryThe human microbiome is a complex ecological system, and describing its structure and function under different environmental conditions is important from both basic scientific and medical perspectives. Viewed through a biostatistical lens, many microbiome analysis goals can be formulated as latent variable modeling problems.
Sankaran, Kris, Holmes, Susan P.
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Assessing the Relationship between Sea Turtle Strandings and Anthropogenic Impacts in Taiwan
Journal of Marine Science and Engineering, 2023 Data acquired from stranded sea turtles can provide awareness of human activities that adversely affect sea turtle populations. We assessed strandings of five sea turtle species between 2017 and 2021. This study utilizes principal component analysis (PCA)
Wei-Rung Chou, Po-Yu Wu, Tsung-Hsien Li
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Factorisation-Based Image Labelling
Frontiers in Neuroscience, 2022 Segmentation of brain magnetic resonance images (MRI) into anatomical regions is a useful task in neuroimaging. Manual annotation is time consuming and expensive, so having a fully automated and general purpose brain segmentation algorithm is highly ...
Yu Yan +6 more
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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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