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|a pubmed24n0703.xml
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|a (DE-627)NLM211014516
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|a (NLM)21869193
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a O'Rourke, J
|e verfasserin
|4 aut
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|a Dynamic quantization
|b two adaptive data structures for multidimensional spaces
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|c 1984
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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|a Date Completed 02.10.2012
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|a Date Revised 12.11.2019
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a Two new data structures are defined for use in multidimensional histogramming. Their purpose is to cover a parameter space with a limited number of histogram bins so that fine precision is maintained where it is needed. The original motivation for these data structures was to implement Hough-like transforms in high-dimensional parameter spaces. The two data structures share the ability to adapt to distributions that change with time
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|a Journal Article
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|a Sloan, K R
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 6(1984), 3 vom: 01. März, Seite 266-80
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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|g volume:6
|g year:1984
|g number:3
|g day:01
|g month:03
|g pages:266-80
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|a GBV_USEFLAG_A
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|a SYSFLAG_A
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|a GBV_NLM
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|a GBV_ILN_350
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|a AR
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|d 6
|j 1984
|e 3
|b 01
|c 03
|h 266-80
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