Results 261 to 270 of about 399,979 (311)
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Journal of Algorithms, 2002
Summary: We consider the well-known problem of how to arrange coins in a fountain and generalize it, by using combinatorial objects known as staircase polyominoes or \(p\)-histograms. We show how it is possible to obtain an asymptotic formula approximating the number of \(p\)-histograms of area \(n\), as \(n\to\infty\).
MERLINI, DONATELLA, SPRUGNOLI, RENZO
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Summary: We consider the well-known problem of how to arrange coins in a fountain and generalize it, by using combinatorial objects known as staircase polyominoes or \(p\)-histograms. We show how it is possible to obtain an asymptotic formula approximating the number of \(p\)-histograms of area \(n\), as \(n\to\infty\).
MERLINI, DONATELLA, SPRUGNOLI, RENZO
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On Histograms and Isosurface Statistics
IEEE Transactions on Visualization and Computer Graphics, 2006In this paper, we show that histograms represent spatial function distributions with a nearest neighbour interpolation. We confirm that this results in systematic underrepresentation of transitional features of the data, and provide new insight why this occurs.
Hamish A. Carr, Brian Duffy, Brian Denby
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2007
Histograms are data objects that are commonly used to characterize media objects like image, video, audio etc. Symbolic Data Analysis (SDA) is a field which deals with extracting knowledge and relationship from such complex data objects. The current research scenario of SDA has contributions related to dimensionality reduction of interval kind data ...
P. Nagabhushan, R. Pradeep Kumar
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Histograms are data objects that are commonly used to characterize media objects like image, video, audio etc. Symbolic Data Analysis (SDA) is a field which deals with extracting knowledge and relationship from such complex data objects. The current research scenario of SDA has contributions related to dimensionality reduction of interval kind data ...
P. Nagabhushan, R. Pradeep Kumar
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Fuzzy Sets and Systems, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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WIREs Computational Statistics, 2009
AbstractHistogram is one of the most important graphical objects in statistical practice. In addition, the histogram provides a consistent estimate of any density function with very few assumptions. Construction of a density histogram with arbitrary mesh is described.
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AbstractHistogram is one of the most important graphical objects in statistical practice. In addition, the histogram provides a consistent estimate of any density function with very few assumptions. Construction of a density histogram with arbitrary mesh is described.
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Merged Pitch Histograms and Pitch-duration Histograms
Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, 2022Hui Liu 0035 +2 more
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