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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 学科主题：engineering     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Research on Document Clustering from Internet Public Opinions 会议论文 5th International Conference on Computer Sciences and Automation Engineering (ICCSAE), Sanya, PEOPLES R CHINA, NOV 14-15, 2015 作者:  Wang, XM 收藏  |  浏览/下载：2/0  |  提交时间：2017/05/11 topic discovery  clustering method   SEGMENTATION OF MRI VOLUME DATA BASED ON GEOMETRIC ACTIVE CONTOUR AND MORPHOLOGICAL CHARACTERISTICS 期刊论文 JOURNAL OF THE BALKAN TRIBOLOGICAL ASSOCIATION, 2016, 卷号: 22, 期号: 2A, 页码: 1993-2007 作者:  Ji, DS;  Taoma;  Chen, XY 收藏  |  浏览/下载：1/0  |  提交时间：2017/05/09 MRI volume data segmentation  GAC model  Hough operator  clustering   Constrained Nonnegative Matrix Factorization for Image Representation 期刊论文 ieee transactions on pattern analysis and machine intelligence, 2012, 卷号: 34, 期号: 7, 页码: 1299-1311 作者:  Liu, Haifeng;  Wu, Zhaohui;  Li, Xuelong;  Cai, Deng;  Huang, Thomas S. 收藏  |  浏览/下载：42/0  |  提交时间：2012/09/03 Nonnegative matrix factorization  semi-supervised learning  dimension reduction  clustering   Image Super-Resolution With Sparse Neighbor Embedding 期刊论文 ieee transactions on image processing, 2012, 卷号: 21, 期号: 7, 页码: 3194-3205 作者:  Gao, Xinbo;  Zhang, Kaibing;  Tao, Dacheng;  Li, Xuelong 收藏  |  浏览/下载：20/0  |  提交时间：2012/09/03 Histograms of oriented gradients (HoG)  neighbor embedding (NE)  sparse representation  super-resolution (SR)   An Improved Semi-Supervised Clustering Algorithm for Multi-Density Datasets with Fewer Constraints 会议论文 International Workshop on Information and Electronics Engineering (IWIEE) / International Conference on Information, Computing and Telecommunications (ICICT), Harbin, PEOPLES R CHINA, MAR 10-11, 2012 作者:  Chen, XY;  Liu, S;  Chen, T;  Zhang, ZQ;  Zhang, HR 收藏  |  浏览/下载：5/0  |  提交时间：2017/01/18 Data mining  clustering  semi-supervised  constraints  multi-density   Semi-supervised clustering algorithm based on small size of labeled data 会议论文 2nd International Conference on Frontiers of Manufacturing and Design Science (ICFMD 2011), Taiwan, TAIWAN, DEC 11-13, 2011 作者:  Leng, MW;  Chen, XY;  Cheng, JJ;  Li, LJ 收藏  |  浏览/下载：5/0  |  提交时间：2017/01/18 Data Mining  semi-supervised clustering  label propagation