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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：西安交通大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework 期刊论文 International Journal of Computer Vision, 2019, 卷号: 127, 页码: 363-380 作者:  Zhang, Dingwen;  Han, Junwei;  Zhao, Long;  Meng, Deyu 收藏  |  浏览/下载：25/0  |  提交时间：2019/11/19 Benchmark datasets  Learning frameworks  Learning object model  Learning process  Self-paced larning  State-of-the-art methods  Vision communities  Weakly supervised learning   Self-paced co-training 会议论文 作者:  Ma, Fan;  Meng, Deyu;  Xie, Qi;  Li, Zina;  Dong, Xuanyi 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26 Co-training algorithm  Fundamental theory  Learning mode  Optimization modeling  Robust learning  Semi- supervised learning  State of the art  Training pools   Semi-supervised learning through adaptive Laplacian graph trimming 期刊论文 IMAGE AND VISION COMPUTING, 2017, 卷号: 60, 页码: 38-47 作者:  Yue, Zongsheng;  Meng, Deyu;  He, Juan;  Zhang, Gemeng 收藏  |  浏览/下载：10/0  |  提交时间：2019/11/26 Nearest neighborhood graph  Semi-supervised learning  Self-paced learning  Graph Laplacian   Robust Semi-Supervised Classification for Noisy Labels Based on Self-Paced Learning 期刊论文 IEEE SIGNAL PROCESSING LETTERS, 2016, 卷号: 23, 期号: [db:dc_citation_issue], 页码: 1806-1810 作者:  Gu, Nannan;  Fan, Mingyu;  Meng, Deyu 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02 Locally linear reconstruction (LLR)  manifold regularization (MR)  semi-supervised learning  self-paced learning (SPL)  semi-supervised classification (SSC)   Bridging saliency detection to weakly supervised object detection based on self-paced curriculum learning 会议论文 作者:  Dingwen, Zhang;  Deyu, Meng;  Zhao, Long;  Han, Junwei 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/26 Human Visual System  Learning procedures  Object detectors  Object location  Saliency detection  Saliency regions  Selective attention mechanism  State of the art   SEMI-SUPERVISED LEARNING OF K-NEAREST NEIGHBORS USING A NEAREST-NEIGHBOR SELF-CONTAINED CRITERION IN FOR MOBILE-AWARE SERVICE 期刊论文 INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2013, 卷号: 27, 期号: [db:dc_citation_issue] 作者:  An, Jian;  Gui, Xiaolin;  Yang, Jianwei;  Jiang, Jinhua;  Qi, Ling 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/10 pattern recognition  community dispersion  community detection  optimal path  semi-supervised learning  Nearest-neighbor self-contained  mobile-aware