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This indicates that function similarity is originated from the local structural information of proteins instead of their global shapes.
The combination of the local binary pattern (LBP) operator and a delicately designed block partition scheme achieved both global shapes and local textures capabilities.
Recently, high-resolution methods have become more promising as additional information such as global shapes or residue contacts are now available from experiments or sequence/structure data.
The global classifier measures the dissimilarity between humming and MIDI data based on the global shapes formed by humming and MIDI data.
In contrast, the global shapes of the two waveforms are compared in the top-down methods, and the local information of the waveform is also used to adjust the matching results of the global shape [2, 8, 12].
That is, because, for measuring the similarity of humming and MIDI data, the points of humming data are compared with those of MIDI data one by one (locally), which does not consider the global shapes formed by humming and MIDI data.
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To What Extent Does Global Shape Influence Category Representation in the Brain?
Title To What Extent Does Global Shape Influence Category Representation in the Brain?
CBMM, NSF STC » To What Extent Does Global Shape Influence Category Representation in the Brain?
The Fourier series technique is flexible in generating various shapes rather than using one global shape.
They do not seek global shape similarity while considering large local deformations.
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