中国科学院机构知识库网格系统: 检索

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	A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection 期刊论文 OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 15 作者: Wu, Di; He, Yi; Luo, Xin; Zhou, MengChu \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2022/08/22 Big data computational intelligence latent factor analysis (LFA) missing data online algorithm online feature selection sparse streaming feature streaming feature
	Online identification of functional regions in deep brain stimulation based on an unsupervised random forest with feature selection 期刊论文 OAI收割 JOURNAL OF NEURAL ENGINEERING, 2019, 卷号: 16, 期号: 6, 页码: 1-13 作者: Cao L(曹蕾); Li J(李杰); Zhou YY(周圆圆); Liu YH(刘云会); Zhao YW(赵忆文) \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2019/12/14 deep brain stimulation microelectrode recording unsupervised random forest feature selection functional region online identification
	Online Similarity Learning for Big Data with Overfitting 期刊论文 OAI收割 IEEE Transactions on Big Data, 2018, 卷号: 4, 期号: 1, 页码: 78-89 作者: Fan BJ(范保杰); Zeng P(曾鹏); Yu HB(于海斌); Luo JB(罗杰波); Cong Y(丛杨) \| 收藏 \| 浏览/下载：46/0 \| 提交时间：2017/12/21 online learning similarity learning low rank sparse representation feature selection overfitting, redundancy
	Online multiple instance gradient feature selection for robust visual tracking 期刊论文 OAI收割 PATTERN RECOGNITION LETTERS, 2012, 卷号: 33, 期号: 9, 页码: 1075-1082 作者: Xie, Yuan; Qu, Yanyun; Li, Cuihua; Zhang, Wensheng 收藏 \| 浏览/下载：33/0 \| 提交时间：2015/09/18 Gradient-based feature selection HOG Multiple Instance Learning Online object tracking
	Online selection of the best k-feature subset for object tracking 期刊论文 OAI收割 JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2012, 卷号: 23, 期号: 2, 页码: 254-263 作者: Li, Guorong; Huang, Qingming; Pang, Junbiao; Jiang, Shuqiang; Qin, Lei \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2019/12/10 Object tracking Feature subset selection Feature selection Feature subset tree Conditional entropy Greedy search algorithm Particle filter Online selection