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These are the estimates that we use as the input to the pattern classification algorithm described below.
Following manual annotation of the training set, the five patterns were provided as an input for the pattern recognition algorithm in order to select the optimum approach.
The user inputs the patterns in the training set.
This layer performs simple summation of the inputs from the pattern layer.
In the following discussion, we refer to the set of patterns we are trying to cover as the input patterns, and the set of patterns that cover the input patterns using our cost model as the covering patterns.
(2) Finding the BMU: determine the Best Matching Unit (BMU) or winning neuron at the iteration by using Euclidean minimum-distance criterion: (1) where represents the input pattern, is the total number of SOM neurons, and the input pattern has dimensions.
In the input Bayer pattern, the number of G pixels is twice those of the R or B pixels.
where represents the input pattern, is the total number of SOM neurons, and the input pattern has dimensions.
In this way, the input pattern to the IFTA algorithm calculating the holographic phase profile can be quickly generated using gray-level threshold detection, once a defined region of interest in the image is selected.
Thus, the data representation scheme must be suitable to detect the features of the input pattern vector such that it produces the correct output signal.
3- A moving window current waveform of 4 samples width, less than a quarter of a cycle, is used as the input pattern to the SVM1 classifier.
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