Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION.

Literature DB >> 16591233

SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION.

I J Schoenberg¹.

Abstract

Year: 1964 PMID： 16591233 PMCID： PMC300377 DOI： 10.1073/pnas.52.4.947

Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN： 0027-8424 Impact factor: 11.205

Keyword Cloud
Cited

× No keyword cloud information.

11 in total

1. Functional principal component analysis of fMRI data.

Authors: Roberto Viviani; Georg Grön; Manfred Spitzer
Journal: Hum Brain Mapp Date: 2005-02 Impact factor: 5.038

2. Determination of localization accuracy based on experimentally acquired image sets: applications to single molecule microscopy.

Authors: Amir Tahmasbi; E Sally Ward; Raimund J Ober
Journal: Opt Express Date: 2015-03-23 Impact factor: 3.894

3. Robust smoothing of gridded data in one and higher dimensions with missing values.

Authors: Damien Garcia
Journal: Comput Stat Data Anal Date: 2010-04-01 Impact factor: 1.681

4. Spline interpolation of demographic data.

Authors: D R McNEIL; T J Trussell; J C Turner
Journal: Demography Date: 1977-05

5. N4ITK: improved N3 bias correction.

Authors: Nicholas J Tustison; Brian B Avants; Philip A Cook; Yuanjie Zheng; Alexander Egan; Paul A Yushkevich; James C Gee
Journal: IEEE Trans Med Imaging Date: 2010-04-08 Impact factor: 10.048

6. Experimental Validation of Dynamic Granger Causality for Inferring Stimulus-Evoked Sub-100 ms Timing Differences from fMRI.

Authors: Yunzhi Wang; Santosh Katwal; Baxter Rogers; John Gore; Gopikrishna Deshpande
Journal: IEEE Trans Neural Syst Rehabil Eng Date: 2016-07-20 Impact factor: 3.802

SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION.

1. Functional principal component analysis of fMRI data.

2. Determination of localization accuracy based on experimentally acquired image sets: applications to single molecule microscopy.

3. Robust smoothing of gridded data in one and higher dimensions with missing values.

4. Spline interpolation of demographic data.

5. N4ITK: improved N3 bias correction.

6. Experimental Validation of Dynamic Granger Causality for Inferring Stimulus-Evoked Sub-100 ms Timing Differences from fMRI.

7. An Areal Isotropic Spline Filter for Surface Metrology.

8. A data-driven clustering method for time course gene expression data.

9. Comparison of non-parametric methods for ungrouping coarsely aggregated data.

10. A Simple and Fast Spline Filtering Algorithm for Surface Metrology.