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Hubness Change Point Detection
Proceedings of the AAAI Conference on Artificial IntelligenceThis study proposes a new change detection method that leverages hubness. Hubness is a phenomenon that occurs in high-dimensional spaces, where certain special data points, known as hub data, tend to be closer to other data points. Hubness is known to degrade the accuracy of methods based on nearest neighbor search.
Ikumi Suzuki, Kazuo Hara, Eiji Murakami
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Characterizing and Triaging Change Points
Companion of the 2022 ACM/SPEC International Conference on Performance Engineering, 2022Jie Chen 0060, Haiyang Hu, Dongjin Yu
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Deep Learning for 3D Point Clouds: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Yulan Guo, Hanyun Wang, Qingyong Hu
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Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Aoran Xiao, Jiaxing Huang, Dayan Guan
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A point-based deep learning network for semantic segmentation of MLS point clouds
ISPRS Journal of Photogrammetry and Remote Sensing, 2021Zhen Dong, Bisheng Yang
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Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis
IEEE Transactions on Intelligent Transportation Systems, 2022Ben Fei, Weidong Yang, Wen-Ming Chen
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PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Zhizhong Han +2 more
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