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Detection of Long Edges on a Computational Budget: A Sublinear Approach.

, , , , and . SIAM J. Imaging Sci., 8 (1): 458-483 (2015)

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Performance of Eigenvalue-Based Signal Detectors with Known and Unknown Noise Level., , and . ICC, page 1-5. IEEE, (2011)Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning., , and . ICML, page 367-374. Omnipress, (2010)Fast Detection of Curved Edges at Low SNR., , , and . CVPR, page 213-221. IEEE Computer Society, (2016)3D shape reconstruction of Mooney faces., , and . CVPR, IEEE Computer Society, (2008)Detecting Curved Edges in Noisy Images in Sublinear Time., , , and . Journal of Mathematical Imaging and Vision, 59 (3): 373-393 (2017)Rank 2r Iterative Least Squares: Efficient Recovery of Ill-Conditioned Low Rank Matrices from Few Entries., , and . SIAM J. Math. Data Sci., 3 (1): 439-465 (2021)Rank 2r iterative least squares: efficient recovery of ill-conditioned low rank matrices from few entries., , and . CoRR, (2020)Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps., , , and . BMEI (1), page 245-249. IEEE Computer Society, (2008)Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27671-27692. PMLR, (2022)Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times., , , , and . DAGM-Symposium, volume 5748 of Lecture Notes in Computer Science, page 502-511. Springer, (2009)