机构

• 自动化研究所 [15]
• 地质与地球物理研究所 [9]
• 数学与系统科学研究院 [9]
• 地理科学与资源研究所 [4]
• 科技战略咨询研究院 [3]
• 遥感与数字地球研究所 [3]
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• OAI收割 [67]
• iSwitch采集 [1]

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• 期刊论文 [61]
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• 学位论文 [2]
• SCI/SSCI论文 [1]

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• 2022 [2]
• 2021 [2]
• 2020 [2]
• 2019 [6]
• 2018 [3]
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筛选

浏览/检索结果: 共68条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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发表日期升序发表日期降序 Compressed Sensing Based RFI Mitigation and Restoration for Pulsar Signals 期刊论文  OAI收割 Astrophysical Journal, 2022, 卷号: 935, 期号: 2, 页码: 117 作者:  Shan, Hao;  Yuan, Jianping;  Wang, Na;  Wang, Zhen   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/06/19 frequency interference mitigation  monotone-operators  limits  representations  reconstruction  decomposition  convergence  shrinkage  recovery  Astronomy & Astrophysics   Performance analysis of the compressed distributed least squares algorithm 期刊论文  OAI收割 SYSTEMS & CONTROL LETTERS, 2022, 卷号: 164, 页码: 9 作者:  Gan, Die;  Liu, Zhixin   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/02/07 Sparse signal  Compressive sensing  Distributed least squares  Performance analysis   Broad Learning System Based on Maximum Correntropy Criterion 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097 作者:  Zheng, Yunfei;  Chen, Badong;  Wang, Shiyuan;  Wang, Weiqun   |  收藏  |  浏览/下载：35/0  |  提交时间：2021/08/15 Learning systems  Robustness  Standards  Optimization  Training  Perturbation methods  Mean square error methods  Broad learning system (BLS)  incremental learning algorithms  maximum correntropy criterion (MCC)  regression and classification   Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies 期刊论文  OAI收割 JOURNAL OF APPLIED STATISTICS, 2021, 页码: 28 作者:  Zhang, Wei;  Wu, Colin O.;  Ma, Xiaoyang;  Tian, Xin;  Li, Qizhai   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/10/26 Dynamic copula model  functional parameter  lasso-regularized spline estimator  multivariate longitudinal data  statistical machine learning  time-varying covariate   Quantum tomography by regularized linear regressions 期刊论文  OAI收割 AUTOMATICA, 2020, 卷号: 114, 页码: 15 作者:  Mu, Biqiang;  Qi, Hongsheng;  Petersen, Ian R.;  Shi, Guodong   |  收藏  |  浏览/下载：21/0  |  提交时间：2020/05/24 Quantum state tomography  Linear regression  Regularization   A generalized least-squares approach regularized with graph embedding for dimensionality reduction 期刊论文  OAI收割 PATTERN RECOGNITION, 2020, 卷号: 98, 页码: 10 作者:  Shen, Xiang-Jun;  Liu, Si-Xing;  Bao, Bing-Kun;  Pan, Chun-Hong;  Zha, Zheng-Jun   |  收藏  |  浏览/下载：28/0  |  提交时间：2020/03/30 Dimensionality reduction  Graph embedding  Subspace learning  Least-squares   Handheld target probe tip center position calibration for target-based vision measurement system 期刊论文  OAI收割 MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 卷号: 30, 期号: 6 作者:  Ma, Yueyang;  Zhao, Hong;  Gu, Feifei;  Zha, Chunwei;  Zhao, Zixin   |  收藏  |  浏览/下载：114/0  |  提交时间：2019/06/27 probe tip center position calibration  light pen  EIV  vision measurement   A generalized multi-dictionary least squares framework regularized with multi-graph embeddings 期刊论文  OAI收割 PATTERN RECOGNITION, 2019, 卷号: 90, 页码: 1-11 作者:  Abeo, Timothy Apasiba;  Shen, Xiang-Jun;  Bao, Bing-Kun;  Zha, Zheng-Jun;  Fan, Jianping   |  收藏  |  浏览/下载：53/0  |  提交时间：2019/12/16 Multi-view dimension reduction  Least squares  Multiple graphs  Feature extraction  Classification   Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 3, 页码: 788-802 作者:  Peng, Hanyang;  Liu, Cheng-Lin   |  收藏  |  浏览/下载：39/0  |  提交时间：2019/07/12 Accelerated proximal gradient (APG)  extended hinge loss (HL)  feature selection  sparsity regularization   A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 2, 页码: 526-537 作者:  Chen, Guang-Yong;  Gan, Min;  Chen, C. L. Philip;  Li, Han-Xiong   |  收藏  |  浏览/下载：47/0  |  提交时间：2019/07/12 Data fitting  regularization  separable nonlinear least squares (SNLLS)  variable projection (VP)  weighted generalized cross validation (WGCV)