Results 11 to 20 of about 540,575 (323)
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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Covariance-on-Covariance Regression
, 2022 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 interest.
Zhao, Yi, Zhao, Yize
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Journal of Physics A: Mathematical and General, 2001 latex with ams-latex, 23 ...
Naudts, Jan, Kuna, Maciej
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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.
Abdelmalek Abdesselam +1 more
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Control of spatial effects due to neighboring palms in coconut (Cocos nucifera) experiments
CORD, 2007 The RCBD is the most robust design for field experimentations in coconut. In this study the effect of neighboring palms to control local variation in field experiments of coconut was evaluated using two long-term coconut trials.
T. S. G. Peiris
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PLoS Genetics, 2012 An important step in analyzing genetic association study data is deciding whether to adjust for covariates—those variables ancillary to the variants of interest. In particular, when testing for novel associations, should the statistical model also include known genetic or nongenetic covariates that are predictors of the trait (e.g., body mass index ...
John S. Witte, Joel Mefford
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Sichuan jingshen weisheng, 2021 The purpose of the paper was to introduce the three special tests of the survival data and the SAS implementation. Specifically， it was the multiple comparisons， the trend test and the covariate test of the survival data.
Hu Chunyan, Hu Liangping
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Covariate-assisted spectral clustering [PDF]
, 2016 Biological and social systems consist of myriad interacting units. The interactions can be represented in the form of a graph or network. Measurements of these graphs can reveal the underlying structure of these interactions, which provides insight into ...
Binkiewicz, Norbert +2 more
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Physical Review D, 2009 10 pages, no figure, RevTeX4 format; v2 adds footnote 1, Ref. [12], reformats the link in Ref.
Deffayet, C. +2 more
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Capacity of the covariance perceptron [PDF]
Journal of Physics A: Mathematical and Theoretical, 2020 Abstract The classical perceptron is a simple neural network that performs a binary classification by a linear mapping between static inputs and outputs and application of a threshold. For small inputs, neural networks in a stationary state also perform an effectively linear input–output transformation, but of an entire time series ...
Dahmen, David +2 more
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