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This paper presents a multi-temporal Stochastic Expectation-Maximization (SEM) algorithm with adaptive Markov Random Field (MRF) for analysis of polarimetric SAR (PolSAR) data for urban land cover mapping. The fitness of alternative distributions of multi-look PolSAR data based on Wishart, G0p and Kp assumptions are compared by using the SEM algorithm. The proposed pixel-based SEM algorithm explores...
For classification problems in data mining based on the thought of combination classification method, this paper proposes a combination classification method of multiple decision trees, which was based on genetic algorithm. In the proposed combination classification method, multiple decision trees that adopt the method of probability measurement level output are parallel combined. Then genetic algorithm...
In this paper, we propose a new classification algorithm based on Jumping Emerging Patterns (JEPs), that have the highest impact on classification accuracy. The core idea of our method is the application of a new ??REAL/ALL?? coefficient, which is used to compare the discriminating power among various groups of JEPs. The efficacy of the proposed approach was confirmed by tests performed on both synthetic...
The text representation in text classification is usually a sequence of terms. As the number of terms becomes very high, it is greatly time-consuming to perform existed text categorization tasks. In this paper we presented a novel text representation model for text classification which greatly reduced the required resources. This model represents text with several features. Each feature corresponds...
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