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Applying an event-based method on database with a small number of seizures tends to give either over optimistic results, in the case of long seizures, or over pessimistic ones, in the case of short seizures.
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Results: We developed a fast homology search method based on database subsequence clustering, and implemented it as GHOSTZ.
The 3D-QSAR was performed using the Step Wise K Nearest Neighbour Molecular Field Analysis [(SW) kNN MFA] technique with the partial least-square (PLS) method on a database.
We demonstrate the effectiveness of our method on both database manipulation and graph algorithm execution.
Figure 16 illustrates the query results of proposed method on MIT VisTex database.
Figure 9 illustrates the query results of proposed method on Corel 1K database.
The query result of the proposed method on Corel-5000 database is shown in Figure 6 (top left image is the query image).
We tested the performance of each method on this database with/without missing sites {0,5%%}.
This paper reports the use of our proposed method on this database from which we want to eradicate duplicates.
These HRTF personalization methods based on database matching were limited by the sizes of the existing databases and the matching criteria.
Among available data analysis tools, methods based on database searches are most frequently used.
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