Two bayesian methods for junction classification

Author:

Cazorla M.A.,Escolano F.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Distance‐based Method;Chemometrics and Numerical Methods in LIBS;2022-10-07

2. Field of Junctions: Extracting Boundary Structure at Low SNR;2021 IEEE/CVF International Conference on Computer Vision (ICCV);2021-10

3. PPGNet: Learning Point-Pair Graph for Line Segment Detection;2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2019-06

4. Ensemble Neural Network with Type-2 Fuzzy Weights Using Response Integration for Time Series Prediction;Recent Developments and the New Direction in Soft-Computing Foundations and Applications;2018

5. Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks;Information;2017-09-20

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