Abstract:SUMMARYHistogram sequences represent high-dimensional timeseries converted from images by space filling curves (SFCs). To overcome the high-dimensionality nature of histogram sequences (e.g., 10 6 dimensions for a 1024×1024 image), we often use lower-dimensional transformations, but the tightness of their lower-bounds is highly affected by the types of SFCs. In this paper we attack a challenging problem of evaluating which SFC shows the better performance when we apply the lower-dimensional transformation to h… Show more
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