Results 221 to 230 of about 519,058 (268)
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A Non-parametric Fisher Kernel
2021In this manuscript, we derive a non-parametric version of the Fisher kernel. We obtain this original result from the Non-negative Matrix Factorization with the Kullback-Leibler divergence. By imposing suitable normalization conditions on the obtained factorization, it can be assimilated to a mixture of densities, with no assumptions on the distribution
Pau Figuera, Pablo García Bringas
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Non-Parametric Regression Methods
Computational Management Science, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Non-Parametric Analysis of Covariance
Biometrics, 1995An analysis of covariance model where the covariate effect is assumed only to be smooth is considered. The possibility of different shapes of covariate effect in different groups is also allowed and tests of equality and of parallelism across groups are constructed.
Young, Stuart G., Bowman, Adrian W.
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Non-parametric estimates of overlap
Statistics in Medicine, 2001Kernel densities provide accurate non-parametric estimates of the overlapping coefficient or the proportion of similar responses (PSR) in two populations. Non-parametric estimates avoid strong assumptions on the shape of the populations, such as normality or equal variance, and possess sampling variation approaching that of parametric estimates.
R A, Stine, J F, Heyse
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Non-parametric self-calibration
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005In this paper, we develop a theory of non-parametric self-calibration. Recently, schemes have been devised for non-parametric laboratory calibration, but not for self-calibration. We allow an arbitrary warp to model the intrinsic mapping, with the only restriction that the camera is central and that the intrinsic mapping has a well-defined non-singular
David Nistér +2 more
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Non-Parametric Subject Prediction
2019Automatic subject prediction is a desirable feature for modern digital library systems, as manual indexing can no longer cope with the rapid growth of digital collections. This is an “extreme multi-label classification” problem, where the objective is to assign a small subset of the most relevant subjects from an extremely large label set.
Shenghui Wang 0001 +2 more
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Non-parametric Statistical Methods
1987Basic statistics and econometrics courses stress methods based on assuming that the data or error term in regression models follow the normal distribution. Indeed, the efficiency of least squares estimates relies on the assumption of normality. In order to lessen the dependence of statistical inference on that assumption statisticians developed methods
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Non‐parametric Regression for Circular Responses
Scandinavian Journal of Statistics, 2012Abstract.Regression with a circular response is a topic of current interest. We introduce non‐parametric smoothing for this problem. Simple adaptations of a weight function enable a unified formulation for both real‐line and circular predictors, whereas these cases have been tackled by quite distinct parametric methods. Additionally, we discuss various
MARCO DI MARZIO +2 more
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Non-parametric detection in underwater environments
International Conference on Acoustics, Speech, and Signal Processing, 1989Motivated by the recurring use of the generalized Gaussian family to model different underwater noise sources and the asymptotic performance levels of some commonly used detectors for this family, the authors examined the performance of these detectors for several different underwater noise sources.
Pamela A. Nielsen, John B. Thomas
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Non-parametric natural image matting
2009 16th IEEE International Conference on Image Processing (ICIP), 2009Natural image matting is an extremely challenging image processing problem due to its ill-posed nature. It often requires skilled user interaction to aid definition of foreground and background regions. Current algorithms use these predefined regions to build local foreground and background colour models. In this paper we propose a novel approach which
Sarim, Muhammad +4 more
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