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The adversary makes an authentication attempt using the feature vector found in the advanced attack model and the previous (or an arbitrary) secret key.
Using the feature vector found in the advanced attack model and the new secret key, the adversary makes an authentication attempt.
We notice that the classification results using the feature vector {FS 1, FS 2,..., FS 10, FI 1,..., FI 5} with the SVM-based classifier, are better compared with the results using the feature vector {FS 1, FS 2,..., FS 10}.
Secondly, we build the similarity matrix of intra-class W w and the similarity matrix of inter-class W b by using the feature vector of each sample of (S_{widehat {textbf {f}}}^{(t)}) and (S_{textbf {f}}^{(a)}).
On the other hand, the summary results of achieved computing times (CPU times) showed in Table 13 are in correspondence with expectancy (the maximum for overall GMM processing using the feature vector of 32 values and the minimum in the case of the length of 8 features).
To describe any protein using the feature vector method, we must first compute parameters of type I, II and III for each of the twenty amino acids which occur in proteins (Supplement S1).
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Here we consider measuring the local distance between two frames without using the feature vectors.
Using the feature vectors, particle filters can accurately estimate the location of a continuously moving real robot, processing 5000 simultaneous localization hypotheses on-line.
It will also improves our insight about the discrimination pattern in each class which may be reconstructed or located using the feature vectors in the discriminant clusters.
The following 9 steps detail the specifics of computing the parameters for the feature vector method and of using the feature vectors to categorize and analyze proteins.
After we represented the sequence fragments, we removed redundant feature vectors using the feature vector-based redundancy reduction method, which was developed in our previous study [ 14].
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