scholarly journals Dual-Matrix Sampling for Scalable Translucent Material Rendering

2015 ◽  
Vol 21 (3) ◽  
pp. 363-374 ◽  
Author(s):  
Yu-Ting Wu ◽  
Tzu-Mao Li ◽  
Yu-Hsun Lin ◽  
Yung-Yu Chuang
The Analyst ◽  
2014 ◽  
Vol 139 (19) ◽  
pp. 4836 ◽  
Author(s):  
Bai-chuan Deng ◽  
Yong-huan Yun ◽  
Yi-zeng Liang ◽  
Lun-zhao Yi

1983 ◽  
Vol 10 (3-4) ◽  
pp. 135-148 ◽  
Author(s):  
Robert S. Gold ◽  
P.H. Charles E. Basch

Author(s):  
P. Srestasathiern ◽  
S. Lawawirojwong ◽  
R. Suwantong ◽  
P Phuthong

This paper address the problem of rotation matrix sampling used for multidimensional probability distribution transfer. The distribution transfer has many applications in remote sensing and image processing such as color adjustment for image mosaicing, image classification, and change detection. The sampling begins with generating a set of random orthogonal matrix samples by Householder transformation technique. The advantage of using the Householder transformation for generating the set of orthogonal matrices is the uniform distribution of the orthogonal matrix samples. The obtained orthogonal matrices are then converted to proper rotation matrices. The performance of using the proposed rotation matrix sampling scheme was tested against the uniform rotation angle sampling. The applications of the proposed method were also demonstrated using two applications i.e., image to image probability distribution transfer and data Gaussianization.


2019 ◽  
Vol 44 (6) ◽  
pp. 752-781
Author(s):  
Michael O. Martin ◽  
Ina V.S. Mullis

International large-scale assessments of student achievement such as International Association for the Evaluation of Educational Achievement’s Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study and Organization for Economic Cooperation and Development’s Program for International Student Assessment that have come to prominence over the past 25 years owe a great deal in methodological terms to pioneering work by National Assessment of Educational Progress (NAEP). Using TIMSS as an example, this article describes how a number of core techniques, such as matrix sampling, student population sampling, item response theory scaling with population modeling, and resampling methods for variance estimation, have been adapted and implemented in an international context and are fundamental to the international assessment effort. In addition to the methodological contributions of NAEP, this article illustrates how the large-scale international assessments go beyond measuring student achievement by representing important aspects of community, home, school, and classroom contexts in ways that can be used to address issues of importance to researchers and policymakers.


1976 ◽  
Vol 7 (6) ◽  
pp. 34-35 ◽  
Author(s):  
Dean A. Austin ◽  
Carl D. Novak

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