TENSOR COMPLETION THROUGH MULTIPLE KRONECKER PRODUCT DECOMPOSITION

被引：0

作者：

Anh-Huy Phan ^{[1
]}

Cichocki, Andrzej ^{[1
]}

Tichavsky, Petr ^{[2
]}

Luta, Gheorghe ^{[3
]}

Brockmeier, Austin ^{[4
]}

机构：

[1] RIKEN, Brain Sci Inst, Wako, Japan

[2] Inst Informat Theory & Automat, Prague, Czech Republic

[3] Georgetown Univ, Dept Biostat Bioinformat & Biomath, Washington, DC USA

[4] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL USA

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2013年

关键词：

tensor decomposition; tensor completion; Kronecker tensor decomposition (KTD); color image; NONNEGATIVE MATRIX; THRESHOLDING ALGORITHM; RECONSTRUCTION;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We propose a novel decomposition approach to impute missing values in tensor data. The method uses smaller scale multiway patches to model the whole data or a small volume encompassing the observed missing entries. Simulations on color images show that our method can recover color images using only 5-10% of pixels, and outperforms other available tensor completion methods.

引用

页码：3233 / 3237

页数：5

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