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How to measure the similarity of data objects is one of the most important problems in the data analysis. This paper proposes a method which uses only information of the distribution of attributes to measure the similarity between nominal data objects. In this algorithm, we made the logarithm form of the conditional probability the main interest, because we think that the distribution information...
This paper proposes a new object model and a similarity measure method for particle filter. Based on cluster color histogram concept and similarity measure method, we analyze color ingredient and measure similarity using Euclidean distance, such that our approach can decrease memory consumption and increase processing speed effectively. Furthermore, in order to increase processing speed, we select...
This paper proposes an algorithm for estimating available bandwidth of network nodes. The algorithm, based on statistical information of the network nodes, calculates link utilization and estimates the available bandwidth through the exponentially weighed moving average (EWMA) filter, and can thereby estimate precisely the available bandwidth of the link in the next time interval. Compared with conventional...
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