Structure Feature Learning Method for Incomplete Data
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Kaigui Bian | Lei Han | Xiabing Zhou | Kunqing Xie | Xingxing Xing | Haikun Hong | Haikun Hong | Kunqing Xie | Kaigui Bian | Xiabing Zhou | Lei Han | Xingxing Xing
[1] Emmanuel J. Candès,et al. The Power of Convex Relaxation: Near-Optimal Matrix Completion , 2009, IEEE Transactions on Information Theory.
[2] Lei Han,et al. Overlapping decomposition for causal graphical modeling , 2012, KDD.
[3] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[4] Nadia Magnenat-Thalmann,et al. Restoring corrupted motion capture data via jointly low-rank matrix completion , 2014, 2014 IEEE International Conference on Multimedia and Expo (ICME).
[5] Michele Modugno,et al. Maximum Likelihood Estimation of Factor Models on Data Sets with Arbitrary Pattern of Missing Data , 2010, SSRN Electronic Journal.
[6] Yi Ma,et al. Robust principal component analysis? , 2009, JACM.
[7] Tung Khac Truong,et al. Chemical reaction optimization with greedy strategy for the 0-1 knapsack problem , 2013, Appl. Soft Comput..
[8] Robert Tibshirani,et al. Spectral Regularization Algorithms for Learning Large Incomplete Matrices , 2010, J. Mach. Learn. Res..
[9] Emmanuel J. Candès,et al. Exact Matrix Completion via Convex Optimization , 2009, Found. Comput. Math..
[10] Jieping Ye,et al. Feature grouping and selection over an undirected graph , 2012, KDD.
[11] Kenli Li,et al. A Hybrid Chemical Reaction Optimization Scheme for Task Scheduling on Heterogeneous Computing Systems , 2015, IEEE Transactions on Parallel and Distributed Systems.
[12] Dinggang Shen,et al. Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion , 2014, NeuroImage.
[13] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[14] Xu Zhou,et al. Adaptive Processing for Distributed Skyline Queries over Uncertain Data , 2016, IEEE Transactions on Knowledge and Data Engineering.
[15] R. Palmer,et al. Missing Data? Plan on It! , 2010, Journal of the American Geriatrics Society.
[16] Benjamin Recht,et al. A Simpler Approach to Matrix Completion , 2009, J. Mach. Learn. Res..
[17] Susan E. Hardy,et al. Missing Data: A Special Challenge in Aging Research , 2009, Journal of the American Geriatrics Society.
[18] Li Li,et al. Efficient missing data imputing for traffic flow by considering temporal and spatial dependence , 2013 .
[19] Ke Lu,et al. Missing data imputation by K nearest neighbours based on grey relational structure and mutual information , 2015, Applied Intelligence.
[20] Phil D. Green,et al. Missing data techniques for robust speech recognition , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[21] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.
[22] Yunjun Gao,et al. Top-k Dominating Queries on Incomplete Data , 2016, IEEE Trans. Knowl. Data Eng..
[23] Xi Chen,et al. Smoothing proximal gradient method for general structured sparse regression , 2010, The Annals of Applied Statistics.
[24] T. Schneider. Analysis of Incomplete Climate Data: Estimation of Mean Values and Covariance Matrices and Imputation of Missing Values. , 2001 .
[25] T. Golub,et al. Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. , 2003, Cancer research.
[26] Yurii Nesterov,et al. Smooth minimization of non-smooth functions , 2005, Math. Program..
[27] Wooi-Boon Goh,et al. A new spatio-temporal MRF model for the detection of missing data in image sequences , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[28] Jon Kleinberg,et al. Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter , 2011, WWW.
[29] Seung-Jae Lee,et al. Dynamic OD Estimation Using Three Phase Traffic Flow Theory , 2011 .
[30] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[31] Shiqian Ma,et al. Fixed point and Bregman iterative methods for matrix rank minimization , 2009, Math. Program..
[32] Angshuman Guin,et al. Multiple Imputation Scheme for Overcoming the Missing Values and Variability Issues in ITS Data , 2005 .
[33] Paul M. Thompson,et al. Multi-source learning with block-wise missing data for Alzheimer's disease prediction , 2013, KDD.
[34] Lynne E. Parker,et al. Nearest neighbor imputation using spatial-temporal correlations in wireless sensor networks , 2014, Inf. Fusion.
[35] Kenli Li,et al. A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues , 2014, Inf. Sci..
[36] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[37] Yi Zhang,et al. PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach , 2009, IEEE Transactions on Intelligent Transportation Systems.
[38] Roderick J. A. Little,et al. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .
[39] Trevor Hastie,et al. Imputing Missing Data for Gene Expression Arrays , 2001 .
[40] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .