Co-publications

Published in 作为合作作者发表的论文, 2010

  1. S. Xia, S. Nie, P. Wang, D. Chen, S. Xu and C. Wang, “A Gap-Based Method for LiDAR Point Cloud Division,” in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2021.3063290.

  2. S. Xia, S. Xu, R. Wang, J. Li and G. Wang, “Building Instance Mapping From ALS Point Clouds Aided by Polygonal Maps,” in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3087159.

  3. 基于地基激光雷达的道路生态景观评价:以黄海海滨国家森林公园为例[J].生态与农村环境学报,2020,36(11):1477-1484.

  4. Higher-Order Conditional Random Fields-Based 3D Semantic Labeling of Airborne Laser-Scanning Point Clouds[J] REMOTE SENSING Volume: ‏ 11 Issue: ‏ 10 Article Number: 1248 Published: ‏ MAY 2 2019

  5. Incorporating neighbors’ distribution knowledge into support vector machines[J] SOFT COMPUTING Volume: ‏ 21 Issue: ‏ 21 Pages: ‏ 6407-6420 Published: ‏ NOV 2017

  6. Finding the samples near the decision plane for support vector learning[J] INFORMATION SCIENCES Volume: ‏ 382 Pages: ‏ 292-307 Published: ‏ MAR 2017

  7. Recognizing Street Lighting Poles From Mobile LiDAR Data[J] IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Volume: ‏ 55 Issue: ‏ 1 Pages: ‏ 407-420 Published: ‏ JAN 2017

  8. Relative density degree induced boundary detection for one-class SVM[J] SOFT COMPUTING Volume: ‏ 20 Issue: ‏ 11 Special Issue: ‏ SI Pages: ‏ 4473-4485 Published: ‏ NOV 2016

  9. A weighted one-class support vector machine[J] NEUROCOMPUTING Volume: ‏ 189 Pages: ‏ 1-10 Published: ‏ MAY 12 2016

  10. Relative density degree induced boundary detection for one-class SVM[J] SOFT COMPUTING Volume: ‏ 20 Issue: ‏ 11 Special Issue: ‏ SI Pages: ‏ 4473-4485 Published: ‏ NOV 2016

  11. Boundary detection and sample reduction for one-class Support Vector Machines[J] NEUROCOMPUTING Volume: ‏ 123 Special Issue: ‏ SI Pages: ‏ 166-173 Published: ‏ JAN 10 2014

  12. 地质图中地质层的精确分割方法[J].计算机科学,2013,40(01):277-281+297.

  13. 基于卷积神经网络的木材缺陷识别[J].山东大学学报(工学版),2013,43(02):23-28.

  14. 立体匹配中边界信息的强化算法[J].山东大学学报(工学版),2012,42(06):43-49.

  15. 结肠癌基因表达谱的特征选取研究[J].山东大学学报(工学版),2012,42(02):23-29.

  16. 边界检测快速SVDD算法[J].江苏科技大学学报(自然科学版),2012,26(02):159-162.

  17. 针对图像区域连续化问题的立体匹配算法[J].南京师范大学学报(工程技术版),2011,11(04):47-52.

  18. 基于分而治之策略的稀疏张量多层次数据挖掘[J].微电子学与计算机,2011,28(10):204-208.

  19. 基于频繁子树挖掘的DNA重复序列识别方法[J].微电子学与计算机,2011,28(09):193-196+201.