This paper concerns the cell-boundary error present in multiscale algorithms for elliptic homogenization problems.
We use each of the six community detection algorithms used in the CbCI algorithm.
This chapter discusses an intelligent assembly inspection system that uses a multiscale algorithm to detect errors in assembles after the algorithm is trained on synthetic computer aided design (CAD) images of correctly assembled products.
The chapter also includes a review of the various modeling methodologies used in the multiscale approaches.
The values of the parameters used in the multiscale system are listed in Table 1.
The removal of this error in modern multiscale algorithms still remains an important open problem.
Evaluation results are presented in Section 4. Conclusion is drawn in Section 5. WT is a multiscale analysis widely used in image and signal processing.
To solve this problem, we use the multiscale Newton algorithm proposed in [13].
Multiscale transforms are widely used in CBIR and texture retrieval.
We note that related multiscale approaches have been used, in a different context, to explore the interaction of antibiotic inhibitors with bacterial ribosomes (53).
