Rene E. Vidal, Ph.D.
Affiliations: | 2003 | University of California, Berkeley, Berkeley, CA, United States |
Area:
Electronics and Electrical, RoboticsGoogle:
"Rene Vidal"Parents
Sign in to add mentor| S. Shankar Sastry | grad student | 2003 | UC Berkeley (BME Tree) | |
| (Generalized principal component analysis (GPCA): An algebraic geometric approach to subspace clustering and motion segmentation.) | ||||
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Publications
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| Li X, Zhu Z, So AM, et al. (2020) Nonconvex Robust Low-Rank Matrix Recovery Siam Journal On Optimization. 30: 660-686 |
| Lobel H, Vidal R, Soto A. (2020) CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition Computer Vision and Image Understanding. 191: 102841 |
| Haeffele BD, Vidal R. (2019) Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications. Ieee Transactions On Pattern Analysis and Machine Intelligence. 42: 1468-1482 |
| Schwab E, Vidal R, Charon N. (2018) Joint spatial-angular sparse coding for dMRI with separable dictionaries. Medical Image Analysis. 48: 25-42 |
| Tsakiris MC, Vidal R. (2018) Algebraic Clustering of Affine Subspaces Ieee Transactions On Pattern Analysis and Machine Intelligence. 40: 482-489 |
| Bouwmans T, Vaswani N, Rodriguez P, et al. (2018) Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications Ieee Journal of Selected Topics in Signal Processing. 12: 1127-1130 |
| Li C, You C, Vidal R. (2018) On Geometric Analysis of Affine Sparse Subspace Clustering Ieee Journal of Selected Topics in Signal Processing. 12: 1520-1533 |
| Jiang H, Robinson DP, Vidal R, et al. (2018) A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis Computational Optimization and Applications. 70: 395-418 |
| Li CG, You C, Vidal R. (2017) Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
| Ahmidi N, Tao L, Sefati S, et al. (2017) A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery. Ieee Transactions On Bio-Medical Engineering |