نتایج جستجو برای: Re-sampling

تعداد نتایج: 383714  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی اصفهان - دانشکده ریاضی 1390

the main objective in sampling is to select a sample from a population in order to estimate some unknown population parameter, usually a total or a mean of some interesting variable. a simple way to take a sample of size n is to let all the possible samples have the same probability of being selected. this is called simple random sampling and then all units have the same probability of being ch...

2008
Peter McCullagh

The non-parametric, or re-sampling, bootstrap for a single unstructured sample corresponds to the algebraic operation of monoid composition, with a uniform distribution on the monoid. With this interpretation, the notion of re-sampling can be extended to designs having a certain group-invariance property. Two types of exchangeable array structures are considered in some detail, namely the one-w...

2010
Lakshmanan Nataraj Anindya Sarkar B. S. Manjunath

Current image re-sampling detectors can reliably detect re-sampling in JPEG images only up to a Quality Factor (QF) of 95 or higher. At lower QFs, periodic JPEG blocking artifacts interfere with periodic patterns of re-sampling. We add a controlled amount of noise to the image before the re-sampling detection step. Adding noise suppresses the JPEG artifacts while the periodic patterns due to re...

2006
Efstathios Stamatatos

Authorship identification can be seen as a single-label multi-class text categorization problem. Very often, there are extremely few training texts at least for some of the candidate authors. In this paper, we present methods to handle imbalanced multi-class textual datasets. The main idea is to segment the training texts into sub-samples according to the size of the class. Hence, minority clas...

2005
Allan Caine

Parallel optical snow is a particular kind of image sequence where all of the objects move parallel to one another. The problem is to determine the direction of this parallel optical snow. It has been shown that there exists a solution to this problem via a Fourier transform. Our objective is to solve this problem without using a Fourier transform. Instead, we use Sampling Importance Re-samplin...

Journal: :Comput. J. 1997
Fun Ting Chan Tsong Yueh Chen Jeng Kei Mak Shir Ming Shen

The optimally re"ned proportional sampling strategy has been recommended as a better alternative to random testing, when dividing the input domain into equal-sized partitions is easy. This paper investigates some properties of the optimally re"ned proportional sampling strategy. This investigation provides some useful information on how well the optimally re"ned proportional sampling strategy o...

Journal: :Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 2005

Journal: :Communications in Statistics - Simulation and Computation 2015
Han Lin Shang

Re-sampling methods for estimating the distribution of descriptive statistics of functional data are considered. Through Monte-Carlo simulations, we compare the performance of several re-sampling methods commonly used for estimating the distribution of descriptive statistics. We introduce two re-sampling methods that rely on functional principal component analysis, where the scores were randoml...

2014
Norbert Krautenbacher

We derive an unbiased variance estimator for re-sampling procedures using the fact that those procedures are incomplete U-statistics. Our approach is based on careful examination of the combinatorics governing the covariances between re-sampling iterations. We establish such an unbiased variance estimator for the special case of K-Fold cross-validation. This estimator exists as soon as new obse...

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