24 citations · 66 across the 4 of their papers we have counts for
5 papers
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate +1
This work addresses the problem of learning sparse representations of tensor data using structured dictionary learning. It proposes learning a mixture of separable dictionaries to…
Identifiability of Kronecker-structured Dictionaries for Tensor Data
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
This paper derives sufficient conditions for local recovery of coordinate dictionaries comprising a Kronecker-structured dictionary that is used for representing th-order tensor…
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate +1
In recent years, a class of dictionaries have been proposed for multidimensional (tensor) data representation that exploit the structure of tensor data by imposing a Kronecker stru…
Minimax Lower Bounds on Dictionary Learning for Tensor Data
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
This paper provides fundamental limits on the sample complexity of estimating dictionaries for tensor data. The specific focus of this work is on th-order tensor data and the ca…
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Dictionary learning is the problem of estimating the collection of atomic elements that provide a sparse representation of measured/collected signals or data. This paper finds fund…