Kamu erişimi zorunlu olan makaleler - Zahra ShakeriDaha fazla bilgi edinin
Bir yerde sunuluyor: 10
Minimax lower bounds on dictionary learning for tensor data
Z Shakeri, WU Bajwa, AD Sarwate
IEEE Transactions on Information Theory 64 (4), 2706 - 2726, 2018
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Minimax lower bounds for Kronecker-structured dictionary learning
Z Shakeri, WU Bajwa, AD Sarwate
2016 IEEE International Symposium on Information Theory (ISIT), 1148 - 1152, 2016
Zorunlu olanlar: US National Science Foundation
STARK: Structured dictionary learning through rank-one tensor recovery
M Ghassemi, Z Shakeri, AD Sarwate, WU Bajwa
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Learning mixtures of separable dictionaries for tensor data: Analysis and algorithms
M Ghassemi, Z Shakeri, AD Sarwate, WU Bajwa
IEEE transactions on signal processing 68, 33-48, 2019
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
Identifiability of Kronecker-structured Dictionaries for Tensor Data
Z Shakeri, AD Sarwate, WU Bajwa
IEEE Journal of Special Topics in Signal Processing 12 (5), 1047 - 1062, 2018
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Sample complexity bounds for dictionary learning of tensor data
Z Shakeri, WU Bajwa, AD Sarwate
2017 41st IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), 2017
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Identification of Kronecker-structured Dictionaries: An Asymptotic Analysis
Z Shakeri, AD Sarwate, WU Bajwa
2017 IEEE International Workshop on Computational Advances in Multi-Sensor …, 2017
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning
M Ghassemi, Z Shakeri, WU Bajwa, AD Sarwate
IEEE International Symposium on Information Theory (ISIT), 2019
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Revisiting sparse channel estimation in massive MIMO-OFDM systems
Z Shakeri, B Taki, ALF De Almeida, M Ghassemi, WU Bajwa
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Revisiting maximal response-based local identification of overcomplete dictionaries
Z Shakeri, WU Bajwa
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016
Zorunlu olanlar: US National Science Foundation
Yayıncılık ve maddi kaynak bilgileri otomatik olarak bir bilgisayar programı tarafından belirlenmektedir