Results 81 to 90 of about 23,770 (308)

Constrained Cramér-Rao Bound for Higher-Order Singular Value Decomposition

IEEE Open Journal of Signal Processing
Tensor decomposition methods for signal processing applications are an active area of research. Real data are often low-rank, noisy, and come in a higher-order format.
Metin Calis, Massimo Mischi, Alle-Jan van der Veen, Raj Thilak Rajan, Borbala Hunyadi   +4 more
doaj   +1 more source

Rank revealing‐based tensor completion using improved generalized tensor multi‐rank minimization

IET Signal Processing, 2021
The authors address the problem of tensor completion from limited samplings. An improved generalized tubal Kronecker decomposition is first proposed to reveal the tensor structure of the targeted data, and the improved generalized tensor tubal‐rank and ...
Wei Z. Sun, Peng Zhang, Bo Zhao
doaj   +1 more source

Atomic Layer Deposition Processes: Versatile Platforms for Engineering ZnO‐Chitosan Biointerfaces

Advanced Healthcare Materials, EarlyView.
Vapour phase metalation (VPM), multiplied pulsed vapour phase infiltration (MPI), and O2 plasma‑enhanced atomic layer deposition (PEALD) tailor Zn–chitosan (Zn‑CS) films. PEALD improves wettability and biocompatibility. MPI enhances semiconductor behavior. Antiseptic selectivity: VPM → E. coli; MPI → H. pylori.
Mabel Moreno, Anjana Devi, David Zanders, Miryam Arredondo, Davide Mariotti, Ruairi McGlynn, Sindy Devis, Simón Guerrero, Eglantina Benavente, Matias Alegría, Yusser Olguin, Lorena Lobos‐Gonzalez, Kevin Guzmán, Elizabeth Rivas‐Yañez, Paula Solar, Valentin Cepus, Michael Krause, Luis Velásquez   +17 more
wiley   +1 more source

Tracking tensor ring decompositions of streaming tensors

Computational and Applied Mathematics
Tensor ring (TR) decomposition is an efficient approach to discover the hidden low-rank patterns for higher-order tensors, and streaming tensors are becoming highly prevalent in real-world applications. In this paper, we investigate how to track TR decompositions of streaming tensors. An efficient algorithm is first proposed.
Yajie Yu, Hanyu Li
openaire   +2 more sources

Microsphere‐Templated Conductive Syntactic Foams for Recyclable and Additively Manufactured Soft Electronics

Advanced Healthcare Materials, EarlyView.
This work introduces a microsphere‐templated strategy to fabricate reprocessable PEDOT:PSS syntactic foams with tunable porosity, stable conductivity, and 3D printability. In situ PEDOT:PSS coatings create a conductive network that maintains electrical performance at high void fractions.
Gayaneh Petrossian, Yassine Diouri, Bolan Xu, Sara Ebrahimi, Atharva Pande, Floriane Miquet‐Westphal, Hang Xu, Fabio Cicoira   +7 more
wiley   +1 more source

Tensor decompositions and algorithms, with applications to tensor learning

CoRR, 2021
A new algorithm of the canonical polyadic decomposition (CPD) presented here. It features lower computational complexity and memory usage than the available state of the art implementations. We begin with some examples of CPD applications to real world problems. A short summary of the main contributions in this work follows.
openaire   +2 more sources

Rapid Fabrication of Self‐Propelled and Steerable Magnetic Microcatheters for Precision Medicine

Advanced Materials, EarlyView.
A rapid Joule heating fabrication method for the production of self‐propelling, adaptive microcatheters, with tunable stiffness and integrated microfluidic channels is presented. Demonstrated through three microrobotic designs, including a steerable guiding catheter, an untethered wave‐crawling TubeBot, and a distal‐end propelled microcatheter, it was ...
Zhi Chen, Boris Rivkin, David Castellanos‐Robles, Ivan Soldatov, Lukas Beyer, Mariana Medina‐Sánchez   +5 more
wiley   +1 more source

The hyperbolic CS decomposition of tensors based on the C-product

Open Mathematics
This paper studies the issues about the hyperbolic CS decomposition of tensors under the C-product. The aim of this paper is fourfold. Firstly, we establish the CS decomposition of a complex unitary tensor, including the thin version and the standard ...
Jin Hongwei, Chen Siran, Benítez Julio
doaj   +1 more source

Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs

, 2012
We describe an approach to speed-up inference with latent-variable PCFGs, whichhave been shown to be highly effective for natural language parsing. Our approachis based on a tensor formulation recently introduced for spectral estimation oflatent-variable
Collins, Michael, Cohen, Shay
core  

Matrix and tensor decomposition methods as tools to understanding sequence-structure relationships in sequence alignments [PDF]

, 2010
textWe describe the use of a tensor mode-1 higher-order singular value decomposition (HOSVD) in the analyses of alignments of 16S and 23S ribosomal RNA (rRNA) sequences, each encoded in a cuboid of frequencies of nucleotides across positions and ...
Muralidhara, Chaitanya
core