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The computational cost is lower than iterative imaging methods which need to solve the forward problem in each iteration.
Attention is concentrated on those features of the numerical methods which need particular care if adequate predictions are to be obtained.
The methods which need to be overwritten in order to implement a worker are: public void addInputPorts, public void addOutputPorts: Specify the ports for passing data between workers.
This paper first focuses on a literature overview of tolerance analysis methods which need to deal with a linearized model of the mechanical behavior.
Unlike conventional example-based methods which need to solve complex optimization problems, the proposed method only computes convolution and pooling operations, hence significantly improves the synthesis efficiency.
Unlike the traditional background subtraction methods, which need video sequences and are very sensitive to illumination changes, the taillight detection algorithm has been designed to obtain the valid ROI from video frames.
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However, we have highlighted a potential challenge for both methods, which needs to be addressed when designing primers or probes.
The other is the self-adaptive adjustment method, which needs much computation.
This restricts the usefulness of the method, which needs a certain percentage to be able to provide results.
To cope with this problem, we propose an adaptive parameter-setting method which needs no test dataset label.
A simplified version of MSNC method, which needs even less experimental input, uses an assumption of constant SN curve slope is also presented in this paper.
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