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A Random Walk Model for Optimization of Search Impact in Web Frontier Ranking.

, , , and . SIGIR, page 153-162. ACM, (2015)

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Non-Local Retinex - A Unifying Framework and Beyond., , and . SIAM J. Imaging Sci., 8 (2): 787-826 (2015)Feature learning for representing sparse networks based on random walks., , and . Intell. Data Anal., 24 (4): 873-886 (2020)A unifying retinex model based on non-local differential operators., , and . Computational Imaging, volume 8657 of SPIE Proceedings, page 865702. IS&T/SPIE, (2013)Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and Regularization., , , , , and . IEEE Trans. Medical Imaging, 33 (5): 1005-1022 (2014)Extracting Sparse High-Dimensional Dynamics from Limited Data., , and . SIAM J. Appl. Math., 78 (6): 3279-3295 (2018)Exact Recovery of Chaotic Systems from Highly Corrupted Data., and . Multiscale Model. Simul., 15 (3): 1108-1129 (2017)Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data., and . CoRR, (2021)Fast Diffusion Tensor Registration with Exact Reorientation and Regularization., , , , , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 138-145. Springer, (2012)Necessary and sufficient conditions for observability in power systems., , , , , and . ISGT, page 1-8. IEEE, (2012)Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging., and . IEEE Trans. Med. Imaging, 34 (11): 2320-2332 (2015)