Results 11 to 20 of about 838,163 (294)
, 2022 Covariates - Relationship for Depression, Self-Esteem and Lifestyle Factors Among University Students in Singapore and ...
Gary Kum Hoe Kwok (12546268)
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Covariance of Covariance Features for Image Classification [PDF]
Proceedings of International Conference on Multimedia Retrieval, 2014 In this paper we propose a novel image descriptor built by computing the covariance of pixel level features on densely sampled patches and encoding them using their covariance. Appropriate projections to the Euclidean space and feature normalizations are employed in order to provide a strong descriptor usable with linear classifiers. In order to remove
SERRA, GIUSEPPE +3 more
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Canadian Journal of Mathematics, 2014 AbstractLet F denote a binary form of order d over the complex numbers. If r is a divisor of d, then the Hilbert covariant Hr,d(F) vanishes exactly when F is the perfect power of an order r form. In geometric terms, the coefficients of H give defining equations for the image variety X of an embedding Pr ↪ Pd.
Abdesselam, Abdelmalek +1 more
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Covariate Order Tests for Covariate Effect [PDF]
Lifetime Data Analysis, 2002 A new approach for constructing tests for association between a random right censored life time variable and a covariate is proposed. The basic idea is to first arrange the observations in increasing order of the covariate and then base the test on a certain point process defined by the observation times.
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Model-based approaches for predicting gait changes over time [PDF]
, 2005 Interest in automated biometrics continues to increase, but has little consideration of time which are especially important in surveillance and scan control. This paper deals with a problem of recognition by gait when time-dependent covariates are added,
Nixon, Mark, Veres, Galina, Carter, John
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Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and non-linear terms [PDF]
, 2012 The paper extends existing models for multilevel multivariate data with mixed response types to handle quite general types and patterns of missing data values in a wide range of multilevel generalized linear models.
Browne, William J +8 more
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Functional PCA With Covariate-Dependent Mean and Covariance Structure
Technometrics, 2022 28 pages, 3 ...
Fei Ding +3 more
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Population Pharmacokinetics of Isavuconazole in Adult: A Systematic Review
Infection and Drug Resistance, 2023 Na Chen,1,2 Xiaojuan Wang,1,2 Yinyan Li,1,2 Ping Yang,1,2 Mingzhu Huang,1,2 Xiaoyang Lu1,2 1Department of Pharmaceutical, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China ...
Chen N +5 more
doaj
Semiparametric estimation with generated covariates [PDF]
, 2016 We study a general class of semiparametric estimators when the infinite-dimensional nuisance parameters include a conditional expectation function that has been estimated nonparametrically using generated covariates.
Schienle, Melanie +2 more
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Covariance-on-covariance regression
BiometricsABSTRACT A covariance-on-covariance regression model is introduced in this manuscript. It is assumed that there exists (at least) a pair of linear projections on outcome covariance matrices and predictor covariance matrices such that a log-linear model links the variances in the projection spaces, as well as additional covariates of ...
Yi Zhao, Yize Zhao
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