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Manolis C. Tsakiris
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2020 – today
- 2024
- [j10]Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris:
Unlabeled Principal Component Analysis and Matrix Completion. J. Mach. Learn. Res. 25: 77:1-77:38 (2024) - [j9]Taulant Koka
, Manolis C. Tsakiris, Michael Muma
Shuffled multi-channel sparse signal recovery. Signal Process. 224: 109579 (2024) - [c26]Hao Liang
Unlabeled Sensing Using Rank-One Moment Matrix Completion. ISSAC 2024: 46-55 - [i21]Wanting Xu, Lan Hu, Manolis C. Tsakiris, Laurent Kneip:
Online Stability Improvement of Groebner Basis Solvers using Deep Learning. CoRR abs/2401.09328 (2024) - 2023
- [j8]Manolis C. Tsakiris
Low-Rank Matrix Completion Theory via Plücker Coordinates. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10084-10099 (2023) - [c25]Manolis C. Tsakiris:
Matrix Recovery from Permutations: An Algebraic Geometry Approach. ISIT 2023: 2511-2516 - [i20]Hao Liang, Jingyu Lu, Manolis C. Tsakiris, Lihong Zhi:
A Field-Theoretic Approach to Unlabeled Sensing. CoRR abs/2303.01175 (2023) - 2022
- [c24]Liangzu Peng
ARCS: Accurate Rotation and Correspondence Search. CVPR 2022: 11143-11153 - [i19]Liangzu Peng, Manolis C. Tsakiris, René Vidal:
ARCS: Accurate Rotation and Correspondence Search. CoRR abs/2203.14493 (2022) - [i18]Manolis C. Tsakiris:
Ladder Matrix Recovery from Permutations. CoRR abs/2207.10864 (2022) - 2021
- [c23]Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson:
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS 2021: 2944-2952 - [c22]Liangzu Peng, Boshi Wang, Manolis C. Tsakiris:
Homomorphic Sensing: Sparsity and Noise. ICML 2021: 8464-8475 - [c21]Yunzhen Yao, Liangzu Peng
Unsigned Matrix Completion. ISIT 2021: 2250-2255 - [c20]Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris:
Unlabeled Principal Component Analysis. NeurIPS 2021: 30452-30464 - [i17]Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris:
Unlabeled Principal Component Analysis. CoRR abs/2101.09446 (2021) - [i16]Yunchen Yang, Xinyue Zhang, Tianjiao Ding, Daniel P. Robinson, René Vidal, Manolis C. Tsakiris:
Boosting RANSAC via Dual Principal Component Pursuit. CoRR abs/2110.02918 (2021) - 2020
- [j7]Liangzu Peng
Linear Regression Without Correspondences via Concave Minimization. IEEE Signal Process. Lett. 27: 1580-1584 (2020) - [j6]Manolis C. Tsakiris
An Algebraic-Geometric Approach for Linear Regression Without Correspondences. IEEE Trans. Inf. Theory 66(8): 5130-5144 (2020) - [c19]Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris:
Robust Homography Estimation via Dual Principal Component Pursuit. CVPR 2020: 6079-6088 - [i15]Qing Qu
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. CoRR abs/2001.06970 (2020) - [i14]Manolis C. Tsakiris:
Finiteness of fibers in matrix completion via Plücker coordinates. CoRR abs/2002.05082 (2020) - [i13]Liangzu Peng, Manolis C. Tsakiris:
Linear Regression without Correspondences via Concave Minimization. CoRR abs/2003.07706 (2020) - [i12]Manolis C. Tsakiris:
An exposition to the finiteness of fibers in matrix completion via Plücker coordinates. CoRR abs/2004.12430 (2020) - [i11]Liangzu Peng, Boshi Wang, Manolis C. Tsakiris:
Homomorphic Sensing of Subspace Arrangements. CoRR abs/2006.05158 (2020)
2010 – 2019
- 2019
- [c18]Wanting Xu, Lan Hu, Manolis C. Tsakiris, Laurent Kneip:
Online Stability Improvement of Gröbner Basis Solvers using Deep Learning. 3DV 2019: 544-552 - [c17]Liangzu Peng
Algebraically-initialized Expectation Maximization for Header-free Communication. ICASSP 2019: 5182-5186 - [c16]Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal:
Classifying and Comparing Approaches to Subspace Clustering with Missing Data. ICCV Workshops 2019: 669-677 - [c15]Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal:
Noisy Dual Principal Component Pursuit. ICML 2019: 1617-1625 - [c14]Manolis C. Tsakiris, Liangzu Peng:
Homomorphic Sensing. ICML 2019: 6335-6344 - [c13]Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal:
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS 2019: 9437-9447 - [i10]Manolis C. Tsakiris, Liangzu Peng:
Homomorphic Sensing. CoRR abs/1901.07852 (2019) - 2018
- [j5]Manolis C. Tsakiris, René Vidal:
Dual Principal Component Pursuit. J. Mach. Learn. Res. 19: 18:1-18:50 (2018) - [j4]Manolis C. Tsakiris
Algebraic Clustering of Affine Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 482-489 (2018) - [c12]Manolis C. Tsakiris, René Vidal:
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries. ICML 2018: 4982-4991 - [c11]Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris:
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms. NeurIPS 2018: 2175-2185 - [i9]Manolis C. Tsakiris, René Vidal:
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries. CoRR abs/1801.00393 (2018) - [i8]Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi:
An Algebraic-Geometric Approach to Shuffled Linear Regression. CoRR abs/1810.05440 (2018) - [i7]Manolis C. Tsakiris:
Eigenspace conditions for homomorphic sensing. CoRR abs/1812.07966 (2018) - [i6]Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris:
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms. CoRR abs/1812.09924 (2018) - 2017
- [j3]Manolis C. Tsakiris, René Vidal:
Filtrated Algebraic Subspace Clustering. SIAM J. Imaging Sci. 10(1): 372-415 (2017) - [c10]Manolis C. Tsakiris, René Vidal:
Hyperplane Clustering via Dual Principal Component Pursuit. ICML 2017: 3472-3481 - [i5]Manolis C. Tsakiris, René Vidal:
Hyperplane Clustering Via Dual Principal Component Pursuit. CoRR abs/1706.01604 (2017) - 2015
- [j2]Manolis C. Tsakiris, Danielle C. Tarraf:
Algebraic decompositions of DP problems with linear dynamics. Syst. Control. Lett. 85: 46-53 (2015) - [c9]Manolis C. Tsakiris, René Vidal:
Dual Principal Component Pursuit. ICCV Workshops 2015: 850-858 - [c8]Manolis C. Tsakiris, René Vidal:
Filtrated Spectral Algebraic Subspace Clustering. ICCV Workshops 2015: 868-876 - [i4]Manolis C. Tsakiris, René Vidal:
Abstract Algebraic Subspace Clustering. CoRR abs/1506.06289 (2015) - [i3]Manolis C. Tsakiris, René Vidal:
Algebraic Clustering of Affine Subspaces. CoRR abs/1509.06729 (2015) - [i2]Manolis C. Tsakiris, René Vidal:
Dual Principal Component Pursuit. CoRR abs/1510.04390 (2015) - [i1]Manolis C. Tsakiris, René Vidal:
Filtrated Spectral Algebraic Subspace Clustering. CoRR abs/1510.04396 (2015) - 2014
- [c7]Manolis C. Tsakiris, René Vidal:
Abstract algebraic-geometric subspace clustering. ACSSC 2014: 1321-1325 - 2013
- [c6]Manolis C. Tsakiris, Danielle C. Tarraf:
On subspace decompositions of finite horizon DP problems with switched linear dynamics. CDC 2013: 5315-5320 - 2012
- [c5]Manolis C. Tsakiris, Danielle C. Tarraf:
On decompositions of finite horizon DP Problems with linear dynamics. Allerton Conference 2012: 587-592 - [c4]Manolis C. Tsakiris, Danielle C. Tarraf:
On subspace decompositions of finite horizon dynamic programming problems. CDC 2012: 1890-1895 - 2010
- [j1]Manolis C. Tsakiris, Cássio Guimarães Lopes, Vítor H. Nascimento
An Array Recursive Least-Squares Algorithm With Generic Nonfading Regularization Matrix. IEEE Signal Process. Lett. 17(12): 1001-1004 (2010) - [c3]Manolis C. Tsakiris, Cássio Guimarães Lopes, Patrick A. Naylor
An alternative criterion for regularization in Recursive Least-Squares problems. ISWCS 2010: 360-363
2000 – 2009
- 2009
- [c2]Manolis C. Tsakiris, Patrick A. Naylor
Fast exact Affine Projection Algorithm using displacement structure theory. DPS 2009: 1-6 - [c1]Manolis C. Tsakiris, Cássio Guimarães Lopes:
A Robust Affine Projection Algorithm with Feedback Compensation of the Condition Number. ISCAS 2009: 2057-2060
Coauthor Index
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