In this work, we present tensor-based linear and nonlinear models for hyperspectral data classification and analysis. By exploiting principles of tensor algebra, we introduce new classification architectures, the weight parameters of which satisfies the rank-1 canonical decomposition property. Then, we introduce learning algorithms to train both the linear and the non-linear classifier in a way...

Small Area estimation is a technique used to estimate parameters of subpopulations with small sample sizes.  Small area estimation is needed  in obtaining information on a small area, such as sub-district or village.  Generally, in some cases, small area estimation uses parametric modeling.  But in fact, a lot of models have no linear relationship between the small area average and the covariat...

Today, the average consumer is comfortable browsing a web site using a desktop, laptop or kiosk computer. However, this is changing a rapid rate as more and more consumers access the same web content using a small screen device such as a mobile phone or personal digital assistant (PDA). Regardless of the consumers’ expertise with the mobile device, the experience is becoming frustrating as they...

this article, with a focus on the change and transformation process of the approaches and trends affecting the new towns policy, scrutinizes the first and second generations of the new towns in reference to the south korea as a case study. the first generation of new towns development in south korea is associated with the rapid growth of urbanization, industrialization and subsequently economic...

Introduction: Most of previous studies on dyslipidemia among pilots were cross-sectional surveys which cannot explore the temporal trend of dyslipidemia, and these studies were normally conducted at least five years ago. In addition, studies focusing on pilots in Southwest China are scarce. This study aimed to describe the prevalence of and trends in dyslipidemia among pilots f...

Tests for correlations between sample size and taxonomic relative abundance are commonly used in zooarchaeological analyses to determine whether observed trends in relative abundance might simply be the result of sampling error. Monte Carlo simulations designed to evaluate the utility of this method indicate that it is inadequate as a means of detecting errors resulting from the incorporation o...

In this paper, we develop a process control approach to detect linear trends in the process mean. A statistic based on the deviation between the target mean and the expected mean of the process is used in the development of the new approach. The statistic is shown to have a Chi-square distribution. The approach is described and its performance is compared with Cumulative Sum (CUSUM), Exponentia...