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作者:White, Philip A.; Keeler, Durban G.; Rupper, Summer
作者单位:Brigham Young University; Utah System of Higher Education; University of Utah
摘要:Snow density estimates below the surface, used with airplane-acquired ice-penetrating radar measurements, give a site-specific history of snow water accumulation. Because it is infeasible to drill snow cores across all of Antarctica to measure snow density and because it is critical to understand how climatic changes are affecting the world's largest freshwater reservoir, we develop methods that enable snow density estimation with uncertainty in regions where snow cores have not been drilled. ...
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作者:Yang, Yang; Ji, Chunlin; Deng, Ke
作者单位:Tsinghua University; Tsinghua University; Tsinghua University
摘要:Composed of a large number of subwavelength unit cells with designable geometries, metamaterials have been widely studied to achieve extraordinary advantageous and unusual optical properties. However, ordinary computer simulator requires a time-consuming fine-tuning to find a proper design of metamaterial for a specific optical property, making the design stage a critical bottleneck in large scale applications of metamaterials. This paper investigates the metamaterial design under the framewor...
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作者:Morvan, Marie; Devijver, Emilie; Giacofci, Madison; Monbet, Valerie
作者单位:Universite de Rennes; Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Mathematical Sciences (INSMI); Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); Inria; Centre National de la Recherche Scientifique (CNRS); Institut National Polytechnique de Grenoble
摘要:In this paper an appropriate and interpretable diagnosis statistical model is proposed to predict Nonalcoholic Steatohepatitis (NASH) from near infrared spectrometry data. In this disease, unknown patients' profiles are expected to lead to a different diagnosis. The model has then to take into account the heterogeneity of the data and the dimension of the spectrometric data. To this end, we propose to fit a mixture model on the joint distribution of the diagnostic binary variable and the covar...
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作者:He, Shiyuan; Lin, Zhenfeng; Yuan, Wenlong; Macri, Lucas M.; Huang, Jianhua Z.
作者单位:Renmin University of China; Microsoft; Johns Hopkins University; Texas A&M University System; Texas A&M University College Station; Texas A&M University System; Texas A&M University College Station
摘要:The period-luminosity relation (PLR) of Mira variable stars is an important tool to determine astronomical distances. The common approach of estimating the PLR is a two-step procedure that first estimates the Mira periods and then runs a linear regression of magnitude on log period. When the light curves are sparse and noisy, the accuracy of period estimation decreases and can suffer from aliasing effects. Some methods improve accuracy by incorporating complex model structures at the expense o...
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作者:Wang, Bruce; Sudijono, Timothy; Kirveslahti, Henry; Gao, Tingran; Boyer, Douglas M.; Mukherjee, Sayan; Crawford, Lorin
作者单位:Princeton University; Brown University; Duke University; University of Chicago; Duke University; Duke University; Duke University; Microsoft
摘要:The recent curation of large-scale databases with 3D surface scans of shapes has motivated the development of tools that better detect global patterns in morphological variation. Studies, which focus on identifying differences between shapes, have been limited to simple pairwise comparisons and rely on prespecified landmarks (that are often known). We present SINATRA, the first statistical pipeline for analyzing collections of shapes without requiring any correspondences. Our novel algorithm t...
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作者:Cho, Min Ho; Kurtek, Sebastian; MacEachern, Steven N.
作者单位:University System of Ohio; Ohio State University
摘要:The classification of shapes is of great interest in diverse areas ranging from medical imaging to computer vision and beyond. While many statistical frameworks have been developed for the classification problem, most are strongly tied to early formulations of the problem with an object to be classified described as a vector in a relatively low-dimensional Euclidean space. Statistical shape data have two main properties that suggest a need for a novel approach: (i) shapes are inherently infini...