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The algorithm of pattern identification is shown in Fig. 2.
The two-step Bayer CFA pattern identification is depicted in Fig. 3.
(3) The percentage of studies that address concurrent pattern identification is increasing.
Correlations and pattern identification is performed within small neighborhoods called subsets (Sutton et al. 1983 , 1988 Pan et al. 2009).
The core concept of pattern identification is built upon the principles of Symbolic Dynamics, Automata Theory, and Information Theory.
Fault pattern identification is a crucial step for the intelligent fault diagnosis of real-time health conditions in monitoring a mechanical system.
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An improved approach for Bayer CFA pattern identification was presented using an intermediate value-counting algorithm [25].
The method of wave pattern identification was constructed on the analysis of the physical procedure of the film spallation.
Generally, only one or two of the whole components (typically not including pattern identification) were considered, and often in isolation [ 23 ].
NMF pattern identification was compared with several other approaches, including the Gibbs Sampler (Lawrence et al., 1993), the Improbizer (Ao et al., 2004), YMF (Sinha and Tompa, 2003), Weeder (Pavesi et al., 2004) and oligo-analysis tools (van Helden, 2003).
Second, pattern element identification is modelled as a supervised classification problem and the deep neural network technique is applied for the accurate classification of pattern elements.
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