苗启广
个人信息:Personal Information
教授
性别:男
毕业院校:西安电子科技大学
学历:博士研究生毕业
学位:博士学位
在职信息:在岗
所在单位:信息化推进办公室
学科:计算机科学与技术 软件工程
办公地点:北校区主楼IV区222
联系方式:029-88202319
电子邮箱:
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- [1]Road centerlines extraction from high resolution images based on an improved directional segmentation and road probability.NEUROCOMPUTING.2016,212 :88-95
- [2]A novel fast image segmentation algorithm for large topographic maps.NEUROCOMPUTING.2015,168 :808-822
- [3]SCTMS: Superpixel based color topographic map segmentation method.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION.2016,35 :78-90
- [4]Predicting individual retweet behavior by user similarity: A multi-task learning approach.KNOWLEDGE-BASED SYSTEMS.2015,89 :681-688
- [5]Guided Superpixel Method for Topographic Map Processing.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING.2016,54 (11):6265-6279
- [6]Enhanced one-class learning based on clustering stability analysis.Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University.2015,42 (2):58-64 and 12
- [7]Color topographical map segmentation Algorithm based on linear element features.MULTIMEDIA TOOLS AND APPLICATIONS.2016,75 (10):5417-5438
- [8]Color topographical map segmentation Algorithm based on linear element features.Multimedia Tools and Applications.2016,75 (10):5417-5438
- [9]Novel algorithm for predicting personalized retweet behavior.Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University.2016,43 (4):51-56 and 6
- [10]A contour-line color layer separation algorithm based on fuzzy clustering and region growing.COMPUTERS & GEOSCIENCES.2016,88 :41-53
- [11]Ensemble one-class classifiers based on hybrid diversity generation and pruning.Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology.2015,37 (2):386-393
- [12]Malware detection using bilayer behavior abstraction and improved one-class support vector machines.INTERNATIONAL JOURNAL OF INFORMATION SECURITY.2016,15 (4):361-379
- [13]Improved road centerlines extraction in high-resolution remote sensing images using shear transform, directional morphological filtering and enhanced broken lines connection.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION.2016,40 :300-311
- [14]Modular ensembles for one-class classification based on density analysis.NEUROCOMPUTING.2016,171 :262-276
- [15]Modular ensembles for one-class classification based on density analysis.Neurocomputing.2016,171 :262-276
- [16]RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS.2016,27 (11):2216-2228
- [17]Single image haze removal based on haze physical characteristics and adaptive sky region detection.NEUROCOMPUTING.2016,182 :221-234
- [18]Fast structural ensemble for One-Class Classification.PATTERN RECOGNITION LETTERS.2016,80 :179-187
- [19]A Data-Based Approach to Discovering Multi-Topic Influential Leaders.PLOS ONE.2016,11 (7)
- [20]BoostFS: A Boosting-Based Irrelevant Feature Selection Algorithm.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE.2015,29 (7)