中国科学院计算技术研究所机构知识库

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限定条件	资助项目：National Natural Science Foundation of China[61620106009]

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子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作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 6, 页码: 3154-3169 作者:  Xu, Qianqian;  Yang, Zhiyong;  Jiang, Yangbangyan;  Cao, Xiaochun;  Yao, Yuan;  Huang, Qingming 收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07 Noise measurement  Annotations  Task analysis  Predictive models  Robustness  Visualization  Training  Subjective visual property (SVP)  robustness  outlier detection  probabilistic model
	Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 11, 页码: 4094-4110 作者:  Yang, Zhiyong;  Xu, Qianqian;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：47/0  |  提交时间：2021/12/01 Task analysis  Convergence  Predictive models  Diseases  Collaborative work  Optimization  Training  Block diagonal structural learning  negative transfer  multi-task learning  global convergence
	Learning Feature Representation and Partial Correlation for Multimodal Multi-Label Data 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1882-1894 作者:  Song, Guoli;  Wang, Shuhui;  Huang, Qingming;  Tian, Qi 收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01 Semantics  Correlation  Task analysis  Data models  Learning systems  Kernel  Deep learning  Cross-modal retrieval  correlation learning  feature learning  partial correlation
	Online Fast Adaptive Low-Rank Similarity Learning for Cross-Modal Retrieval 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 5, 页码: 1310-1322 作者:  Wu, Yiling;  Wang, Shuhui;  Huang, Qingming 收藏  |  浏览/下载：65/0  |  提交时间：2020/12/10 Semantics  Correlation  Training  Data models  Visualization  Adaptation models  Fasteners  Cross-modality learning  similarity function learning  online learning  low-rank matrix
	Multi-label classification by exploiting local positive and negative pairwise label correlation 期刊论文 NEUROCOMPUTING, 2017, 卷号: 257, 页码: 164-174 作者:  Huang, Jun;  Li, Guorong;  Wang, Shuhui;  Xue, Zhe;  Huang, Qingming 收藏  |  浏览/下载：50/0  |  提交时间：2019/12/12 Multi-label classification  k nearest neighbors  Local label correlation  Positive and negative label correlation