Algorithms And Data Structures

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By Chen J., Zhang D.

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We then keep inserting intervals to the tree in the described order as long as their corresponding distance values are equal to dist(i, S). As soon as the first interval has a corresponding distance value larger than dist(i, S) the algorithm terminates and all cells of the refinement are reported that are covered by |P | intervals. As each Cp forms a partition of the angle space, the intersection of two intervals gathered by the rotation of the same point p is always empty. In other words if a cell is covered by |P | intervals, all points in P are moved into subcubes that have an distance value of at most dist(i, S) when rotated by any angle taken from this intervals.

Orvos proposed a method for deriving a signature key from a biometric sample and a master secret kept securely in a smart card [14]. -G. -W. -W. Lee generate a digital signature only by accessing the server or smart card through biometric authentication, are being announced [8]. We could observe that the first two schemes are far from practice due to their inadequate assumption on acquiring deterministic biometrics [7,12], while the remaining results eventually use biometrics as only a means to access the signature key stored in some hardware devices [8].

H. Kang et al. procedure of other algorithms to find specific probes, then the running time of other algorithms can be greatly improved. 5. 5. However, the parameter values can be selected as needed. 5 Conclusion The crux of the microarray design for large genomes lies in how to select unique probes efficiently that distinguish a given genomic sequence from other sequences. We proposed a new approach to the probe selection problem. Based on the observation that there is very small number of genes which cause the probe candidates of a gene to be bad probes, our approach involves a novel preprocessing procedure that screens out bad relation genes (not probes) for each gene in the commonly used scheme.

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A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribu by Chen J., Zhang D.


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