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This study seeks to explore the causal relationship between the factors affecting the level of brand consciousness among local universities students in Malaysia by using Bayesian network. Bnlearn package in R is used for learning the graphical structure of Bayesian networks from a survey data and to perform some useful inferences. The random variables and their conditional dependencies are represented...
A stochastic texture is a texture whereby the arrangement of the pattern is random in nature. The identification for each of these textures is uncertain and usually involves complex methods to search for the locations of the correlation between these textures. We propose the cluster coding algorithm which could easily classify the stochastic textures in a semantic way based on statistical features...
Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM)...
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