Jung Yeop Kim

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In this paper, we propose a new image retrieval method consisting of shape feature data. In this approach we assume the images are classified into single objects through other known classification methods such as K-means and SVM algorithms. From collected binary object images, we develop a new algorithm that has less computation but equal efficiency as(More)
Our research addresses constructing a dynamic normal profile for anomaly detection systems without requiring time-consuming retraining. We propose to continuously update normal profiles by keeping the most recently employed patterns whose amount is dynamically determined. Active window adjustment through a simplified concept drift algorithm helps to keep(More)
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