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ORCIDMorteza Ashraphijuo
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2020 – today
- 2020
[j12]Morteza Ashraphijuo, Xiaodong Wang:
Characterization Of sampling patterns for low-tt-rank tensor retrieval. Ann. Math. Artif. Intell. 88(8): 859-886 (2020)- [j11]Morteza Ashraphijuo, Xiaodong Wang:
Union of Low-Rank Tensor Spaces: Clustering and Completion. J. Mach. Learn. Res. 21: 69:1-69:36 (2020) - [j10]Morteza Ashraphijuo
, Xiaodong Wang:
Structured Alternating Minimization for Union of Nested Low-Rank Subspaces Data Completion. IEEE J. Sel. Areas Inf. Theory 1(3): 632-644 (2020) - [j9]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
Fundamental sampling patterns for low-rank multi-view data completion. Pattern Recognit. 103: 107307 (2020)
2010 – 2019
- 2019
- [j8]Morteza Ashraphijuo, Xiaodong Wang:
Fundamental conditions on the sampling pattern for union of low-rank subspaces retrieval. Ann. Math. Artif. Intell. 87(4): 373-393 (2019) - [j7]Morteza Ashraphijuo, Xiaodong Wang:
Clustering a union of low-rank subspaces of different dimensions with missing data. Pattern Recognit. Lett. 120: 31-35 (2019) - [j6]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor. IEEE Trans. Inf. Theory 65(9): 5380-5400 (2019) - [j5]Morteza Ashraphijuo, Xiaodong Wang, Junwei Zhang:
Low-Rank Data Completion With Very Low Sampling Rate Using Newton's Method. IEEE Trans. Signal Process. 67(7): 1849-1859 (2019) - 2018
- [j4]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion. IEEE Signal Process. Lett. 25(3): 343-347 (2018) - [j3]Mehdi Ashraphijuo, Morteza Ashraphijuo, Xiaodong Wang:
On the DoF of Two-Way 2×2×2 MIMO Relay Networks. IEEE Trans. Veh. Technol. 67(11): 10554-10563 (2018) - [c9]Morteza Ashraphijuo, Xiaodong Wang:
A Characterization of Sampling Patterns for Union of Low-Rank Subspaces Retrieval Problem. ISAIM 2018 - 2017
- [j2]Morteza Ashraphijuo, Xiaodong Wang:
Fundamental Conditions for Low-CP-Rank Tensor Completion. J. Mach. Learn. Res. 18: 63:1-63:29 (2017) - [j1]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
Rank Determination for Low-Rank Data Completion. J. Mach. Learn. Res. 18: 98:1-98:29 (2017) - [c8]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
An approximation of the CP-rank of a partially sampled tensor. Allerton 2017: 604-611 - [c7]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
A characterization of sampling patterns for low-tucker-rank tensor completion problem. ISIT 2017: 531-535 - [c6]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
A characterization of sampling patterns for low-rank multi-view data completion problem. ISIT 2017: 1147-1151 - [i7]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data. CoRR abs/1701.00737 (2017) - [i6]Morteza Ashraphijuo, Xiaodong Wang:
Characterization of Deterministic and Probabilistic Sampling Patterns for Finite Completability of Low Tensor-Train Rank Tensor. CoRR abs/1703.07698 (2017) - [i5]Morteza Ashraphijuo, Xiaodong Wang:
Fundamental Conditions for Low-CP-Rank Tensor Completion. CoRR abs/1703.10740 (2017) - [i4]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
Rank Determination for Low-Rank Data Completion. CoRR abs/1707.00622 (2017) - [i3]Morteza Ashraphijuo, Xiaodong Wang:
Scaled Nuclear Norm Minimization for Low-Rank Tensor Completion. CoRR abs/1707.07976 (2017) - [i2]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion. CoRR abs/1712.01628 (2017) - 2016
- [c5]Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei, Ross Baldick:
Power system state estimation with a limited number of measurements. CDC 2016: 672-679 - [c4]Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei, Alper Atamtürk:
A strong semidefinite programming relaxation of the unit commitment problem. CDC 2016: 694-701 - [c3]Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei:
Characterization of rank-constrained feasibility problems via a finite number of convex programs. CDC 2016: 6544-6550 - [i1]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
Deterministic and Probabilistic Conditions for Finite Completability of Low Rank Tensor. CoRR abs/1612.01597 (2016) - 2015
- [c2]Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei:
Inverse function theorem for polynomial equations using semidefinite programming. CDC 2015: 6589-6596 - 2014
- [c1]Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei:
Promises of conic relaxation for contingency-constrained optimal power flow problem. Allerton 2014: 1064-1071
Coauthor Index
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