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Anomaly detection via adaptive greedy model 期刊论文
Neurocomputing, 2019, 卷号: 330, 页码: 369-379
Authors:  Hou DD(侯冬冬);  Cong Y(丛杨);  Sun G(孙干);  Liu J(刘霁);  Xu XW(徐晓伟)
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Anomaly detection  Dictionary selection  Forward–backward greedy algorithm  ℓ0 norm  ℓ2,0 norm  
Lifelong Metric Learning 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 8, 页码: 3168-3179
Authors:  Sun G(孙干);  Cong Y(丛杨);  Liu J(刘霁);  Liu LQ(刘连庆);  Xu XW(徐晓伟);  Yu HB(于海斌)
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Lifelong Learning  Metric Learning  Multi-task Learning  Low-rank Subspace  
水下光学图像中目标探测关键技术研究综述 期刊论文
激光与光电子学进展, 2019, 页码: 1-18
Authors:  林森;  赵颍
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数字图像处理  水下图像预处理  水下目标检测识别  水下目标跟踪  深度学习  
A multi-domain feature learning method for visual place recognition 会议论文
2019 International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019
Authors:  Yin P(殷鹏);  Xu LY(许凌云);  Li, Xueqian;  Yin, Chen;  Li YL(李英立);  Srivatsan, Rangaprasad Arun;  Li, Lu;  Ji JM(吉建民);  He YQ(何玉庆)
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Preface (ICIRA 2019 Part.I) 会议论文
Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings, Shenyang, China, August 8-11, 2019
Authors:  Yu HB(于海斌);  Liu JG(刘金国);  Liu LQ(刘连庆);  Ju ZJ(琚兆杰);  Liu YW(刘玉旺);  Zhou, Dalin
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面向机器人航天员的三维目标识别定位方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2018
Authors:  潘旺
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识别定位  位姿测量  三维目标  模板匹配  多传感器  
基于深度学习和序列匹配的长航程场景识别算法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2018
Authors:  殷鹏
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同步定位建模  场景识别  无监督学习  序列匹配  
基于LLC与GIST特征的静态人体行为分类 期刊论文
计算机工程, 2018, 卷号: 44, 期号: 8, 页码: 268-272, 278
Authors:  王恩德;  刘巧英;  李勇
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行为识别  全局特征描述子  局部约束线性编码  空间金字塔匹配  最大池化  
Online Low-Rank Metric Learning via Parallel Coordinate Descent Method 会议论文
2018 24th International Conference on Pattern Recognition (ICPR), Beijing, China, August 20-24, 2018
Authors:  Sun G(孙干);  Cong Y(丛杨);  Wang Q(王强);  Xu XW(徐晓伟)
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Online Similarity Learning for Big Data with Overfitting 期刊论文
IEEE Transactions on Big Data, 2018, 卷号: 4, 期号: 1, 页码: 78-89
Authors:  Cong Y(丛杨);  Liu J(刘霁);  Fan BJ(范保杰);  Zeng P(曾鹏);  Yu HB(于海斌);  Luo JB(罗杰波)
View  |  Adobe PDF(930Kb)  |  Favorite  |  View/Download:257/20  |  Submit date:2017/12/21
Online Learning  Similarity Learning  Low Rank  Sparse Representation  Feature Selection  Overfitting  Redundancy