activity
20142016
most citedEfficient tensor completion for color image and video recovery: Low-rank tensor train

427 citations · 522 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LG2016★ 3 cited

Concatenated image completion via tensor augmentation and completion

Johann A. Bengua, Hoang D. Tuan, Ho N. Phien +1

This paper proposes a novel framework called concatenated image completion via tensor augmentation and completion (ICTAC), which recovers missing entries of color images with high…

math.NA2016★ 427 cited

Efficient tensor completion for color image and video recovery: Low-rank tensor train

Johann A. Bengua, Ho N. Phien, Hoang D. Tuan +1

This paper proposes a novel approach to tensor completion, which recovers missing entries of data represented by tensors. The approach is based on the tensor train (TT) rank, which…

cs.NI2016★ 1 cited

Two-hop Power-Relaying for Linear Wireless Sensor Networks

Johann A. Bengua, Hoang D. Tuan, Ho N. Phien +1

This paper presents two-hop relay gain-scheduling control in a Wireless Sensor Network to estimate a static target prior characterized by Gaussian probability distribution. The tar…

math.NA2016★ 26 cited

Efficient tensor completion: Low-rank tensor train

Ho N. Phien, Hoang D. Tuan, Johann A. Bengua +1

This paper proposes a novel formulation of the tensor completion problem to impute missing entries of data represented by tensors. The formulation is introduced in terms of tensor…

cond-mat.str-el2015

The iPEPS algorithm, improved: fast full update and gauge fixing

Ho N. Phien, Johann A. Bengua, Hoang D. Tuan +2

The infinite Projected Entangled Pair States (iPEPS) algorithm [J. Jordan et al, PRL 101, 250602 (2008)] has become a useful tool in the calculation of ground state properties of 2…

cs.CV2015

Matrix Product State for Feature Extraction of Higher-Order Tensors

Johann A. Bengua, Ho N. Phien, Hoang D. Tuan +1

This paper introduces matrix product state (MPS) decomposition as a computational tool for extracting features of multidimensional data represented by higher-order tensors. Regardl…