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Privacy preserving anonymization of social networks using eigenvector centrality approach.

, and . Intell. Data Anal., 20 (3): 543-560 (2016)

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Clustering High-dimensional Data with Ordered Weighted ℓ1 Regularization., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7176-7189. PMLR, (2023)Privacy preserving anonymization of social networks using eigenvector centrality approach., and . Intell. Data Anal., 20 (3): 543-560 (2016)An Overview of Face Liveness Detection., and . CoRR, (2014)Uniform Concentration Bounds toward a Unified Framework for Robust Clustering., , , and . NeurIPS, page 8307-8319. (2021)t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering., , and . Tiny Papers @ ICLR, OpenReview.net, (2024)A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data., and . ICLR, OpenReview.net, (2024)A Shot boundary Detection Technique based on Visual Colour Information., , and . Multim. Tools Appl., 80 (3): 4007-4022 (2021)Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm., , and . CoRR, (2020)Kernel k-Means, By All Means: Algorithms and Strong Consistency., , , and . CoRR, (2020)Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm., , and . AAAI, page 6930-6938. AAAI Press, (2021)