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» A New Study on Distance Metrics as Similarity Measurement
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SIGMETRICS
2011
ACM
196views Hardware» more  SIGMETRICS 2011»
12 years 10 months ago
Autocorrelation analysis: a new and improved method for measuring branch predictability
Branch taken rate and transition rate have been proposed as metrics to characterize the branch predictability. However, these two metrics may misclassify branches with regular his...
Jian Chen, Lizy Kurian John
DMIN
2006
293views Data Mining» more  DMIN 2006»
13 years 9 months ago
Arabic Text Classification Using N-Gram Frequency Statistics A Comparative Study
This paper presents the results of classifying Arabic text documents using the N-gram frequency statistics technique employing a dissimilarity measure called the "Manhattan di...
Laila Khreisat
EDBT
2006
ACM
145views Database» more  EDBT 2006»
14 years 7 months ago
Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds
Abstract. Comparison of images requires a distance metric that is sensitive to the spatial location of objects and features. Such sensitive distance measures can, however, be compu...
Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh
CVPR
2006
IEEE
14 years 9 months ago
Diffusion Distance for Histogram Comparison
In this paper we propose diffusion distance, a new dissimilarity measure between histogram-based descriptors. We define the difference between two histograms to be a temperature f...
Haibin Ling, Kazunori Okada
EWCBR
2006
Springer
13 years 11 months ago
Combining Multiple Similarity Metrics Using a Multicriteria Approach
The design of a CBR system involves the use of similarity metrics. For many applications, various functions can be adopted to compare case features and to aggregate them into a glo...
Luc Lamontagne, Irène Abi-Zeid