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Search Results: 1 - 10 of 1265 matches for " onlineK-means "
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复杂场景下自适应背景减除算法
邵奇可,周宇,李路,陈庆章
中国图象图形学报 , 2015, DOI: 10.11834/jig.20150604
Abstract: 目的复杂场景下的背景减除是智能视频监控研究领域的研究重点和热点之一.针对混合高斯模型中高斯分布个数固定和参数初始化粗糙问题,提出一种应用于复杂场景中的基于混合高斯模型的自适应背景减除算法(AMGBS).方法通过灰度值归类算法自适应调整模型的高斯分布个数,使得背景模型能够适应场景的变化,并且结合在线K均值(onlineK-means)算法和在线期望最大化(onlineEM)算法初始化混合高斯模型参数.结果针对灰度值统计结果调整高斯分布数,以及采用优化参数初始化过程,实验表明,本文方法的平均查准率和平均查全率比传统的混合高斯算法高出10%左右,比其他改进的混合高斯算法高出2%左右.结论提出一种新的自适应背景减除算法,针对灰度值统计结果调整高斯分布数,以及采用优化参数初始化过程.实验结果表明,该方法对复杂场景有较强的适应能力,能够有效快速地完成背景减除,进而实现运动目标的提取.
A New Look at Generalized Means  [PDF]
Sarah M. Tooth, John A. Dobelman
Applied Mathematics (AM) , 2016, DOI: 10.4236/am.2016.76042
Abstract: Since antiquity, the relationships between 2-tuples and their Pythagorean means have been represented in geometric forms. In this paper, we extend the practice to generalized power means through new representations, and also to 3-tuples. These geometric forms give rise to new algebraic expressions for summary statistics of 2- and 3-tuples.
A Gendered Study of Student Ratings of Instruction  [PDF]
Lucas Huebner, Rhonda C. Magel
Open Journal of Statistics (OJS) , 2015, DOI: 10.4236/ojs.2015.56058
Abstract:

This research tests for differences in mean class averages between male and female faculty for questions on a student rating of instruction form at one university in the Midwest are considered to be in the category of “very high research activity” by the Carnegie Commission on Higher Education. Differences in variances of class averages are also examined for male and female faculty. Tests are conducted by first considering all classes across the entire university and then classes just within the College of Science and Mathematics. The proportion of classes taught by female instructors in which the average male student rating was higher than the average female student rating was compared to the proportion of classes taught by male instructors in which the average male student rating was higher than the average female student rating. Results are discussed.

Practical significance of the difference in means
H. S. Steyn (JR.)
South African Journal of Industrial Psychology , 2000, DOI: 10.4102/sajip.v26i3.711
Abstract: It is shown how the standardised difference (the effect size) between two population means can be used to establish significance when the populations are observed in totality. When dealing with two samples methods are given to determine the practical importance of a statistically significant difference. The usual effect size formula is adapted to deal with cases where populations have different standard deviations. Opsomming Dit word aangetoon hoe die gestandaardiseerde verskil (die effekgrootte) tussen twee populasiegemiddeldes gebruik kan word om beduidenheid t.o.v. volledig waargenome populasies te bepaal. In die geval van twee steekproewe word metodes gegee om die praktiese belangrikheid van 'n statistiese beduidende verskil vas te stel. Die gewone effekgrootte formule word aangepas ten einde gevalle waar populasies verskillende standaardafwykings het te hanteer.
Controlling Access to Suicide Means
Marco Sarchiapone,Laura Mandelli,Miriam Iosue,Costanza Andrisano,Alec Roy
International Journal of Environmental Research and Public Health , 2011, DOI: 10.3390/ijerph8124550
Abstract: Background: Restricting access to common means of suicide, such as firearms, toxic gas, pesticides and other, has been shown to be effective in reducing rates of death in suicide. In the present review we aimed to summarize the empirical and clinical literature on controlling the access to means of suicide. Methods: This review made use of both MEDLINE, ISI Web of Science and the Cochrane library databases, identifying all English articles with the keywords “suicide means”, “suicide method”, “suicide prediction” or “suicide prevention” and other relevant keywords. Results: A number of factors may influence an individual’s decision regarding method in a suicide act, but there is substantial support that easy access influences the choice of method. In many countries, restrictions of access to common means of suicide has lead to lower overall suicide rates, particularly regarding suicide by firearms in USA, detoxification of domestic and motor vehicle gas in England and other countries, toxic pesticides in rural areas, barriers at jumping sites and hanging, by introducing “safe rooms” in prisons and hospitals. Moreover, decline in prescription of barbiturates and tricyclic antidepressants (TCAs), as well as limitation of drugs pack size for paracetamol and salicylate has reduced suicides by overdose, while increased prescription of SSRIs seems to have lowered suicidal rates. Conclusions: Restriction to means of suicide may be particularly effective in contexts where the method is popular, highly lethal, widely available, and/or not easily substituted by other similar methods. However, since there is some risk of means substitution, restriction of access should be implemented in conjunction with other suicide prevention strategies.
Automatic DNA sequencing for electrophoresis gels using image processing algorithms  [PDF]
Jiann-Der Lee, Chung-Hsien Huang, Neng-Wei Wang, Chin-Song Lu
Journal of Biomedical Science and Engineering (JBiSE) , 2011, DOI: 10.4236/jbise.2011.48067
Abstract: DNA electrophoresis gel is an important biologically experimental technique and DNA sequencing can be defined by it. Traditionally, it is time consuming for biologists to exam the gel images by their eyes and often has human errors during the process. Therefore, automatic analysis of the gel image could provide more information that is usually ignored by human expert. However, basic tasks such as the identification of lanes in a gel image, easily done by human experts, emerge as problems that may be difficult to be executed automatically. In this paper, we design an automatic procedure to analyze DNA gel images using various image processing algorithms. Firstly, we employ an enhanced fuzzy c-means algorithm to extract the useful information from DNA gel images and exclude the undesired background. Then, Gaussian function is utilized to estimate the location of each lane of A, T, C, and G on the gels images automatically. Finally, the location of each band on the gel image can be detected accurately by tracing lanes, renewing lost bands, and eliminating repetitive bands.
Going Concern Prediction of Iranian Companies by Using Fuzzy C-Means  [PDF]
Mahdi Moradi, Mahdi Salehi, Hadi Sadoghi Yazdi, Mohammad Ebrahim Gorgani
Open Journal of Accounting (OJAcct) , 2012, DOI: 10.4236/ojacct.2012.12005
Abstract: Decision-making problems in the area of financial status evaluation have been considered very important. Making incorrect decisions in firms is very likely to cause financial crises and distress. Predicting going concern of factories and manufacturing companies is the desire of managers, investors, auditors, financial analysts, governmental officials, employees. This research introduces a new approach for modeling of company’s behavior based on Fuzzy Clustering Means (FCM). Fuzzy clustering is one of well-known unsupervised clustering techniques, which allows one piece of data belongs to two or more clusters. The data used in this research was obtained from Iran Stock Market and Accounting Research Database. According to the data between 2000 and 2009, 70 pairs of companies listed in Tehran Stock Exchange are selected as initial data set. Our experimental results showed that FCM approach obtains good prediction accuracy in developing a financial distress prediction model. Also, in effective features determination test the results show that features based on cash flows play more important role in clustering two classes.
An Asymptotic Distribution Function of the Three-Dimensional Shifted van der Corput Sequence  [PDF]
Jana Fialová, Ladislav Mi?k, Oto Strauch
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.515227
Abstract:

In this paper, we apply the Weyl's limit relation to calculate the limit \"\" \"\"where γq (n) is the van der Corput sequence in base q, g (x, y, z), is the asymptotic distribution function of (γq (n), γq (n +1), γq (n + 2)), and F (x, y, z) = max (x, y, z), min (x, y, z), and xyz, respectively.

Hybrid Genetic Algorithm with K-Means for Clustering Problems  [PDF]
Ahamed Al Malki, Mohamed M. Rizk, M. A. El-Shorbagy, A. A. Mousa
Open Journal of Optimization (OJOp) , 2016, DOI: 10.4236/ojop.2016.52009
Abstract: The K-means method is one of the most widely used clustering methods and has been implemented in many fields of science and technology. One of the major problems of the k-means algorithm is that it may produce empty clusters depending on initial center vectors. Genetic Algorithms (GAs) are adaptive heuristic search algorithm based on the evolutionary principles of natural selection and genetics. This paper presents a hybrid version of the k-means algorithm with GAs that efficiently eliminates this empty cluster problem. Results of simulation experiments using several data sets prove our claim.
Secure Cognitive Radio Communication for Internet-of-Things: Anti-PUE Attack Based on Graph Theory  [PDF]
Azar Hosseini, Bahman Abolhassani, Arezoo Hosseini
Journal of Computer and Communications (JCC) , 2017, DOI: 10.4236/jcc.2017.511003
Abstract: Internet of Things (IoT) paradigm with strong impact on future life will be interconnected through Cognitive Radio Networks (CRNs). CRNs with Ubiquitous trait are highly promising to achieve interference-free and on-demand services. CRs are able to sense the spectral environment, to detect unoccupied bands, and to use them for signal transmissions. This opportunity encourages malicious Users to surpass CRs by Primary User Emulation (PUE) attack and use vacant spectrums. This paper proposes an unsupervised algorithm to distinguish CRs from PUs regardless of static and mobile user. Employing K-means and graph theory are coincident in our algorithm to improve detection outcomes. The edge of graph corresponding to the relation between signals is used and the result of comparison the signal properties is exposed to different clusters. The Receiver Operating Characteristic (ROC) and Detection Error Tradeoff (DET) of our proposed algorithm prove our claim.
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