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Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

, , , , , and . IEEE BigData, page 3396-3403. IEEE Computer Society, (2016)

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Embedded sparse representation of fMRI data via group-wise dictionary optimization., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841K. SPIE, (2016)Low-Rank and Sparse Multi-task Learning., , and . Low-Rank and Sparse Modeling for Visual Analysis, Springer, (2014)Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation., , , , , and . KDD, page 617-626. ACM, (2015)Scaling SVM and Least Absolute Deviations via Exact Data Reduction., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 523-531. JMLR.org, (2014)Object Detection in 20 Years: A Survey., , , and . CoRR, (2019)Robust multi-task feature learning., , and . KDD, page 895-903. ACM, (2012)BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification., , , , and . KDD, page 99-108. ACM, (2015)Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data., , , and . SDM, page 288-296. SIAM, (2018)Big Data at Didi Chuxing.. SIGIR, page 1341. ACM, (2018)Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images., , , , , , and . IEEE Trans. Medical Imaging, 40 (8): 2030-2041 (2021)