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The performance of the central spike train as a classification template is compared to the performance of the obvious alternative, the medoid response.
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A sequence of carefully designed image processing operations consisting of image binarization, connected-component labeling, region classification, adaptive template matching, and shape analysis, are developed for an accurate and robust localization of fiducial projections.
In each group, the priorities are assigned to templates according to the hierarchical classification of templates based on their complexity.
Classification of biometric template protection methods.
This excellent performance is in a similar range as classifications based on template matching.
The Classification module defines the template attribute and the class attribute (the last one discussed in Sect. 3.4).
Following this lead, the influence of activation state of the crystal template on classification efficiency was also examined for beta-2 homology models constructed on activated and deactivated M2R template.
Databases: "0": Own; "1": FacePix [48]; "2": BU [49]; "3": MIT [50]; "4": Pointing'04 [34] GM geometric model, FM flexible model, AT appearance template, Cl classification, Rg regression, Tr tracking, DR dimensionality reduction.
To optimize the taxonomic classification, a training set template file trimmed to a 100-nt region centered on the V6 region was generated from the 8422-sequence RDP training set version 6.
Li et al. [9] propose a classification method using the template-matching strategy.
Kaus et al. [ 15] presented a template-driven classification technique that involves iterative statistical segmentation of LGGs based on T1W MR image intensity values.
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