@inproceedings{d7862a1b58034cb4bc6e3e56e319dc73,
title = "Identification of kronecker-structured dictionaries: An asymptotic analysis",
abstract = "The focus of this work is on derivation of conditions for asymptotic recovery of Kronecker-structured dictionaries underlying second-order tensor data. Given second-order tensor observations (equivalently, matrix-valued data samples) that are generated using a Kronecker-structured dictionary and sparse coefficient tensors, conditions on the dictionary and coefficient distribution are derived that enable asymptotic recovery of the individual coordinate dictionaries comprising the Kronecker dictionary within a local neighborhood of the true model. These conditions constitute the first step towards understanding the sample complexity of Kronecker-structured dictionary learning for second- and higher-order tensor data.",
author = "Zahra Shakeri and Sarwate, {Anand D.} and Bajwa, {Waheed U.}",
note = "Funding Information: The work of the authors was supported in part by the National Science Foundation under awards CCF-1525276 and CCF-1453073, and by the Army Research Office under award W911NF-17-1-0546. Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017 ; Conference date: 10-12-2017 Through 13-12-2017",
year = "2018",
month = mar,
day = "9",
doi = "10.1109/CAMSAP.2017.8313163",
language = "English (US)",
series = "2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017",
address = "United States",
}