邓廷权
近期热点
资料介绍
个人简历
工作经历 2005年09月-至今,哈尔滨工程大学 教授 数学(一级学科) 博士生导师 控制科学与工程 博士生导师 计算机科学与技术 博士生导师 数学(应用数学) 硕士生导师 系统科学 硕士生导师 2003年08月-2005年08月,清华大学控制科学与工程,博士后研究人员 1999年10月-2000年10月,荷兰国立数学与计算机科学研究院,访问学者 1990年03月-2003年08月,哈尔滨工业大学,助教、讲师、副教授承担项目 1. 高维混合数据异常知识发现的粒计算模型关键问题研究.国家自然科学基金面上项目,2015.01-2018.12 2. 形态学连通性理论及在图像分割中的应用研究.国家自然科学基金面上项目,2008.01-2010.12学术交流 1. 多次前往加拿大、香港等地参加国际学术学术会议和学术交流 2. 多次担任模糊信息分析、粒计算、人工智能与模式识别等国际学术会议Session主席;《Applied Soft Computing》、《Automatica》、《Information Sciences》、《Knowledge-based Systems》、《Applied Mathematical Modelling》等几十种国际顶级学术期刊审稿人招生信息指导博士生学科:数学、控制科学与工程、计算机科学与技术指导硕士生学科:数学、系统科学指导研究生方向:不确定性数学理论与方法、机器学习与数据科学、图像分析与模式识别热烈欢迎有志于从事相关领域学术研究的学生报考博士研究生。本科生授课课程 离散数学 模糊集理论及应用 数字图像处理研究生授课课程 模糊空间信息分析 形态学图像分析 数据分析导论荣誉 入选黑龙江省普通高等学校青年学术骨干支持计划 多次获得学校表彰和奖励研究领域
不确定性数学理论和方法,机器学习、数据挖掘与人工智能,图像分析与模式识别""近期论文
1. Grey–scale morphology based on fuzzy logic.Journal of Mathematical Imaging and Vision,2002,16(2):155–1712. On reduction of morphological covering rough sets.Lecture Notes in Artificial Intelligence,2006,4223:266–2753. A novel approach to fuzzy rough sets based on a fuzzy covering.Information Sciences,2007,177(11):2308–23264. Feature selection in decision systems based on conditional knowledge granularity.International Journal of Computational Intelligence Systems,2011,4(4):655–6715. 结合变精度粗糙熵和遗传算法的图像阈值分割方法.控制与决策,2011,26(7):1079–10826. 二型模糊集的模糊熵研究.控制与决策,2012,27(3):408–4127. An improved algorithm for facet-based infrared small target detection.Journal of Optoelectronics and Advanced Materials,2012,14(3–4):298–3038. 模糊相似关系下变精度模糊粗糙集.智能系统学报,2012,7(2):148–1529. Parameter significance and reductions of soft sets.International Journal of Computer Mathematics,2012,89(15):1979–199510. Granule–view based feature extraction and classification approach to color image segmentation in a manifold space.Neurocomputing,2013,99(1):46–5811. An object–parameter approach to predicting unknown data in incomplete fuzzy soft sets.Applied Mathematical Modelling,2013,37(6):4139–414612. 综合属性选择和删除的属性约简方法.智能系统学报,2013,8(2):183–18613. 基于S–粗集的图像阈值分割方法.系统工程理论与实践,2013,33(9):2397–240314. 自适应中心加权的彩色图像中值滤波方法.控制与决策,2013,28(9):1372–137615. Visual tracking via tensor kernel principal component analysis.Journal of Information and Computational Science,2014,11(10):3593–360216. 基于模糊匹配的多视点图像配准方法.模式识别与人工智能,2014,27(10):879–88617. Visual tracking via feature tensor multimanifold discriminate analysis.Mathematical Problems in Engineering,2014,2014(787093):1–1218. Variable precision fuzzy hit-or-miss transformation models to object identification in grey-scale images.Journal of Mathematical Imaging and Vision,2015,53(1):112–12919. Local reactive obstacle avoidance approach for high-speed unmanned surface vehicle.Ocean Engineering,2015,106:128–14020. Comments from the author of “An object-parameter approach to predicting unknown data in incomplete fuzzy soft sets”[Appl. Math. Modell. 37(2013) 4139-4146].Applied Mathematical Modelling,2015,39(23–24):7744–774521. 基于距离度量学习的半监督多视角谱聚类算法.四川大学学报(工程科学版),2016,48(1):146–15122. Areduct derived from feature selection.Pattern Recognition Letters,2012,33(12):1638–164623. Active contours driven by divergence of gradient vector flow.Signal Processing,2016,120:185-19924. A supervised class-preserving Laplacian Eigenmaps for dimensionality reduction.Proceedings of the 2016 12th International Conference on Natural Computation,Fuzzy Systems and Knowledge Discovery (ICNC-FSKD),Changsha,China,August 13–15,2016,pp 383–38925. Locally linear embedding preserving local neighborhood.Proceedings of the 2016 12th International Conference on Natural Computation,Fuzzy Systems and Knowledge Discovery (ICNC-FSKD),Changsha,China,August 13–15,2016,pp 438–44426. An improved semi-supervised outlier detection algorithm based on adaptive feature weighted clustering. Mathematical Problems in Engineering,2016,2016(6394253):1–1427. 一种基于单簇核PCM的SVDD离群点检测方法.电子学报,2017,45(4):813–81928. A nonparametric statistical snake model using the gradient flow of minimum probability density integration.Journal of Mathematical Imaging and Vision,2018,60(7):1150-116629. Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction.International Journal of Machine Learning and Cybernetics,2019,10(2):397-411中国智能空天系统专业委员会委员黑龙江省工业与应用数学学会副理事长《American Journal of Data Mining and Knowledge Discovery》(AJDMKD)编委会成员《International Journal of Computational Intelligence and Pattern Recognition》(IJCIPR)编委会成员 相关热点