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- W1853452506 abstract "In this paper, one new similarity measure which holds better mathematical description is given and discussed in details. The increment of the amazing measure, which denotes the similarity measure between two count vectors is discussed in this paper and its corresponding properties are also explained. We also give the analysis and the proof to explain the efficiency of the proposed similarity measure. The experimental results indicate that when using the proposed similarity measure , the corresponding results for different applications can be optimized. Keywords-Similarity measure; Context modeling; Amazing measure; description length" @default.
- W1853452506 created "2016-06-24" @default.
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- W1853452506 date "2015-01-01" @default.
- W1853452506 modified "2023-09-26" @default.
- W1853452506 title "A New Similarity Measure for the Context Quantization based on the Statistic Counting Model" @default.
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- W1853452506 doi "https://doi.org/10.2991/lemcs-15.2015.362" @default.
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