搜索结果: 1-15 共查到“shrinkage”相关记录56条 . 查询时间(0.078 秒)
Moisture and thermal diffusivity of lentil seed under convective infrared-microwave:Modelling with and without shrinkage
infrared radiation equilibrium content Fick’s second equation drying rate dehydration
2016/9/2
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...
Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis
Adaptive Lasso Canonical Correlation Analysis Multivariate Regression
2016/1/25
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...
Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis
Adaptive Lasso Canonical Correlation Analysis Multivariate Regression Selection Consistency
2016/1/20
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...
RESEARCH ON THE REASONS FOR ANGULI LAKE′S SHRINKAGE AND DRYING UP USING SATELLITE REMOTE SENSING
Anguli Lake Remote Sensing Image Troughs Temperature Rise Shrinkage and Drying up
2016/1/3
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...
Speckle Denoising Based on Bivariate Shrinkage Functions and Dual-Tree Complex Wavelet Transform
Transformation Algorithms SAR Radiometric Processing, Image
2015/11/20
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...
Ideal Spatial Adaptation by Wavelet Shrinkage
Minimax estimation sub ject to doing well at a point Orthogonal Wavelet Bases of Compact Support
2015/8/20
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...
WAVELET SHRINKAGE FOR CORRELATED DATA AND INVERSE PROBLEMS: ADAPTIVITY RESULTS
Adaptation correlated data fractional brownian motion
2015/8/20
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...
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 ...
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...
Adapting to Unknown Smoothness via Wavelet Shrinkage
Minimax Decision theory Stein's Unbiased Estimate of Risk
2015/8/20
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...
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...
Measurement of Shrinkage In Concrete Samples By Using Digital photogrammetric Methods
Calibration Close Range Adjustment
2015/7/14
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...
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...
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
A General Iterative Shrinkage Thresholding Algorithm Non-convex Regularized Optimization Problems
2013/5/2
Non-convex sparsity-inducing penalties have recently received considerable attentions in sparse learning. Recent theoretical investigations have demonstrated their superiority over the convex counterp...