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The set of similarities within templates is represented as I = { S ( F i, F j ) ∣ F i, F j ∈ T } (6).
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Most biometric templates are represented as fixed length real vectors and they can be binarized easily using locality sensitive hashing (LSH) techniques and the most natural and widely used distance in the hash space is the Hamming distance.
The extent to which templates were represented in the spiking events was assessed using template-matching (Lee and Wilson, 2002; Foster and Wilson, 2006; Diba and Buzsaki, 2007).
Template set is represented as T = { F i ∣ i = 1, 2, …, n } (5).
The resulting template-related failure mode distribution is represented in Figure 6.
Thus, for NAST structures, we use template structures where each nucleotide is represented by the C3′ atom position.
As shown in Figures 1(a)–1(c), each sound file in the database is represented as a template, and the construction of these templates will be detailed in this section.
In the reference dataset, the FPCN is represented by two templates, consisting of the left and right hemisphere regions of the FPCN.
The required output document is represented through a template.
In our search for coarse-grain matches, we only consider the level of coarse-graining that is represented in the template structure.
The consensus sequence along with the template and the secondary structure elements is represented in Figure 2. BLAST search results reveal that high resolution (2.11 Ǻ) crystal structure of S. tuberosum AGPase SS (PDB ID: 1YP2_A) is the suitable template for model building.
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