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Harnessing lab knowledge for real-world action recognition

, , , , , and . International Journal of Computer Vision, 109 (1-2): 60--73 (2014)

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Flexible Orthogonal Neighborhood Preserving Embedding., , and . IJCAI, page 2592-2598. ijcai.org, (2017)Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression., , , and . IEEE Trans. Knowl. Data Eng., 32 (1): 165-176 (2020)Extracting the optimal dimensionality for local tensor discriminant analysis., , , and . Pattern Recognit., 42 (1): 105-114 (2009)Robust Object Co-Segmentation Using Background Prior., , , and . IEEE Trans. Image Process., 27 (4): 1639-1651 (2018)Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering., , , and . IEEE Trans. Image Process., 26 (7): 3196-3209 (2017)Neighborhood MinMax Projections., , and . IJCAI, page 993-998. (2007)Scalable Normalized Cut with Improved Spectral Rotation., , , and . IJCAI, page 1518-1524. ijcai.org, (2017)Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances., , , and . IJCAI, page 3008-3014. ijcai.org, (2019)Flexible Shift-Invariant Locality and Globality Preserving Projections., , and . ECML/PKDD (2), volume 8725 of Lecture Notes in Computer Science, page 485-500. Springer, (2014)Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint., , , and . ICA3PP (2), volume 12453 of Lecture Notes in Computer Science, page 337-351. Springer, (2020)