In a large image database, an automatic image annotation plays an important role to assign a caption to an image. There are many applications of image annotation which include information extraction, knowledge acquisition, finding answers from specific questions, etc. In this research, we propose an image annotation approach using a graph ranking algorithm on a novel structure which includes similarities among regions within images and caption term collocation information. Caption terms are selected using a graph random walk method biased ...

In information age, data has become increasingly large, in both dimension (the number of features) and volume. Data mining processes, such as data classification and data clustering, performed on high dimensional data can be time-consuming and can produce poor results due to the problem so called curse of dimensionality. Feature selection is one of the fundamental techniques that selects only the most significant features and eliminates irrelevant and redundant features from the entire set of features. Filter-based feature selection is the ...

Predictive coding has proven to be effective for lossless image compression. The predictive coding estimates true color of a pixel based on the true colors of its neighboring pixels. To enhance the accuracy of the estimation, we propose a new and simple predictive coding algorithm that uses the quantized colors of neighboring pixels to estimate the true color of a pixel. The estimation is based on the majority of quantized colors of the three neighboring pixels. Experiments, over a set of true color 24-bit images whose colors of pixels are quantized ...

The study utilized field survey data conducted from January 1986 to March 1986. Married women aged 15 to 49 years with experience of at least one live birth were randomly interviewed in depth. Only live births during the period January 1, 1980 to December 31, 1984 were analysed. For a better understanding of the infant mortality situation in Thailand, the author begins with the estimate of regional probability of dying between live birth and selected age by applying the indirect technique developed by Brass, Trussell and Feeney. The data for ...

This dissertation proposes a permutation test and a permutation procedure for testing on partial regression coefficients from a multiple linear regression with first-order autocorrelation where the distribution of the error terms is not necessarily normal. The proposed permutation procedure can be directly conducted in the test without having to fit back to the model, which is not the same procedure as in previous permutation tests, and a proposed permutation test is considered based on a random permutation test. In addition, the asymptotic ...

In this study, a test statistic used to select a multivariate linear regression model based on Mallows’s Cp with the same rationale as the SCp criterion from the system of equations Vichit Lorchirachoonkul and Jirawan Jitthavech (2012: 2386- 2394) proposed. The D statistic, which is the difference between the modified Cp statistics in the reduced model and in the full model, approximates to a standard normal distribution.

With the advancement of the Internet technology, customers can easily share opinions about services and products in forms of reviews. There can be large amount of reviews for popular products. Manually summarizing those reviews for important issues is a daunting task. Automatic opinion summarization is a solution to the problem. The task is more complicated for reviews written in Thai. Thai words are written continuously without space, and there is no symbol to identify the end of a sentence. Many reviews are written informally, thus accurate ...