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The key feature of the proposed algorithm can be identified as its underlying capability to handle complex data distributions and incursive operating condition changes including both slow dynamic variations and instant mode shifts.
So, the split Bregman algorithm can be identified as a particular case of our proposed algorithm framework with (P=gamma B^{T}B) and (rho=1).
Through the analysis of these selected features, one can consider a "reverse engineering" of the stego algorithm as illustrated on Figure 2. By the identification of the most relevant features, the main characteristics of the embedding method can be inferred, and the steganographic algorithm can be identified if known, or simply understood.
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Two classes of consistency maintenance algorithms can be identified: conservative consistency and optimistic consistency.
In the light of the aforementioned, certain drawbacks of M-LWDF and EXP algorithms can be identified.
Two broad categories of motif finding algorithms can be identified [ 25]: stochastic-search methods based on the position-specific scoring matrix (PSSM) representation and combinatorial approaches based on variants of the consensus sequence representation.
After using the algorithm, quadratic improvement can be identified on convergence rate to game value.
We think the discrepancies arise from false assignments generated by the prediction algorithms used, which can be identified by comparison with proteins for which there are reliable experimental data of localization (see Additional file 6) [ 2- 14, 53- 57].
However, by using multiple findings in a strict algorithm, such a group can be identified.
With these 3D algorithms, the electric source can be identified in most of the patients, even in the presence of large, inhomogeneous lesions (Brodbeck et al., 2009).
Using this algorithm, the code word length can be identified by calculating the arithmetic mean of the number of zeros that occur in the columns of the matrix obtained by the Gauss elimination.
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