Multi-dimensional visual data completion via low-rank tensor representation under coupled transform
This paper addresses the tensor completion problem, which aims to recover missing
information of multi-dimensional images. How to represent a low-rank structure embedded …
information of multi-dimensional images. How to represent a low-rank structure embedded …
Modewise operators, the tensor restricted isometry property, and low-rank tensor recovery
Recovery of sparse vectors and low-rank matrices from a small number of linear
measurements is well-known to be possible under various model assumptions on the …
measurements is well-known to be possible under various model assumptions on the …
Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements
In this paper we consider the problem of recovering a low-rank Tucker approximation to a
massive tensor based solely on structured random compressive measurements. Crucially …
massive tensor based solely on structured random compressive measurements. Crucially …
Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery
Recovery of sparse vectors and low-rank matrices from a small number of linear
measurements is well-known to be possible under various model assumptions on the …
measurements is well-known to be possible under various model assumptions on the …
[图书][B] On Methods in Tensor Recovery and Completion
C Haselby - 2023 - search.proquest.com
Tensor representations of data have great promise, since as the size of data grows both in
terms of dimensionality and modes, it becomes increasingly advantageous to employ …
terms of dimensionality and modes, it becomes increasingly advantageous to employ …
[图书][B] Uniform Concentration of Tensor and Neural Networks: An Approach towards Recovery Guarantees
AC Goeßmann - 2021 - search.proquest.com
This thesis contributes to the uniform concentration approach towards guaranteeing the
generalization of learned models. We show probabilistic bounds on various uniform …
generalization of learned models. We show probabilistic bounds on various uniform …