Min Jin
2 Papers
Min Jin is an academic researcher. The author has contributed to research in topics: Computer science & Similarity (geometry). The author has co-authored 2 publications.
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Papers
Shapelet selection based on a genetic algorithm for remaining useful life prediction with supervised learning
TL;DR: In this article , the RUL shapelet composition problem with multiple objective functions is studied and a solution methodology based on a genetic algorithm is proposed. But the problem is not solved in this paper.
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Automatic Image Blending Algorithm Based on SAM and DINO
TL;DR: Zhang et al. as discussed by the authors proposed a new image blending method that combines semantic object detection and segmentation with corresponding mask generation to automatically blend images, while a two-stage iterative algorithm based on new saturation loss and PAN algorithm to fix brightness distortion and low resolution issues.