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搜索结果: 1-15 共查到shrinkage相关记录56条 . 查询时间(0.076 秒)
The effect of infrared radiation and microwave radiation on the moisture and thermal diffusivity characteristics of lentil seeds during infrared and microwave drying was investigated. Using mathematic...
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for pre...
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for pre...
There are a group of arc lines in the remote sensing image beside Anguli lake. Through interpretation image carefully, we find which are not only parallel to each other, but also to the lake east shor...
Bivariate shrinkage functions (bsf) statistically denoted as joint probability density functions (pdf) and noise pdf, can be united by MAP to denoise image. Because the intensity of speckle in synthet...
With ideal spatial adaptation, an oracle furnishes information about how best to adapt a spatially variable estimator, whether piecewise constant, piecewise polynomial, variable knot spline, or vari...
Johnstone and Silverman (1997) described a level-dependent thresholding method for extracting signals from correlated noise. The thresholds were chosen to minimize a data based unbiased risk criteri...
Minimax Estimation via Wavelet Shrinkage     Minimax Decision theory  Minimax Bayes estimation       font style='font-size:12px;'> 2015/8/20
We attempt to recover an unknown function from noisy, sampled data. Using orthonormal bases of compactly supported wavelets we develop a nonlinear method which works in the wavelet domain by simple ...
Universal Near Minimaxity of Wavelet Shrinkage     Wavelet Shrinkage  Near Minimaxity       font style='font-size:12px;'> 2015/8/20
We discuss a method for curve estimation based on n noisy data; one translates the empirical wavelet coecients towards the origin by an amount p 2 log(n)  =p n. The method is nearly minimax for...
We attempt to recover a function of unknown smoothness from noisy, sampled data. We introduce a procedure, SureShrink, which suppresses noise by thresholding the empirical wavelet coecients. The th...
Wavelet Shrinkage: Asymptopia?     Asymptopia  Wavelet Shrinkage       font style='font-size:12px;'> 2015/8/20
Considerable e ort has been directed recently to develop asymptotically minimax methods in problems of recovering in nite-dimensional ob jects (curves, densities, spectral densities, images) from nois...
This paper shows the use of digital photogrammetry for measurement of shrinkage in concrete sample (4x4x22 cm) during the hydration process. A vision system consist of two digital video cameras was e...
Locally Computable UOWHF with Linear Shrinkage     input locality  output locality       font style='font-size:12px;'> 2014/3/11
We study the problem of constructing locally computable Universal One-Way Hash Functions (UOWHFs) $\mathcal{H}:\{0,1\}^n \rightarrow \{0,1\}^m$. A construction with constant \emph{output locality}, wh...
Non-convex sparsity-inducing penalties have recently received considerable attentions in sparse learning. Recent theoretical investigations have demonstrated their superiority over the convex counterp...
Margins, Shrinkage, and Boosting     Margins  Shrinkage  Boosting       font style='font-size:12px;'> 2013/5/2
This manuscript shows that AdaBoost and its immediate variants can produce approximate maximum margin classifiers simply by scaling step size choices with a fixed small constant. In this way, when the...

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