Results 51 to 60 of about 15,041 (261)

Identifying Protein–metabolite Networks Associated with COPD Phenotypes

Metabolites, 2020
Chronic obstructive pulmonary disease (COPD) is a disease in which airflow obstruction in the lung makes it difficult for patients to breathe. Although COPD occurs predominantly in smokers, there are still deficits in our understanding of the additional ...
Emily Mastej, Lucas Gillenwater, Yonghua Zhuang, Katherine A. Pratte, Russell P. Bowler, Katerina Kechris   +5 more
doaj   +1 more source

SAR Target Recognition via Joint Sparse Representation of Monogenic Components With 2D Canonical Correlation Analysis

IEEE Access, 2019
A synthetic aperture radar (SAR) target recognition approach is developed in this paper by exploiting the multiscale monogenic components, which are extracted from SAR images based on the 2D monogenic signal. The 2D canonical correlation analysis is then
Yapeng Zhou, Yaheng Chen, Ranran Gao, Jinxiong Feng, Pengfei Zhao, Li Wang   +5 more
doaj   +1 more source

Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space

IEEE Access, 2020
Patients with Craniomaxillofacial (CMF) deformities always get isolated deformed jaws with normal midfaces. Orthognathic surgery is specifically designed to correct jaws of the patients with normal midfaces.
Zuoyong Li, Shenghua Teng, Yong Cheng, Guang-Hai Liu   +3 more
doaj   +1 more source

A Novel Three-stage Feature Fusion Methodology and its Application in Degradation State Identification for Hydraulic Pumps

Measurement Science Review, 2021
The performance of feature is essential to the degradation state identification for hydraulic pumps. The initial feature set extracted from the vibration signal of the hydraulic pump is often high-dimensional and contains redundant information, which ...
Pei Mochao, Li Hongru, Yu He
doaj   +1 more source

Underwater Acoustic Target Feature Fusion Method Based on Multi-Kernel Sparsity Preserve Multi-Set Canonical Correlation Analysis

Xibei Gongye Daxue Xuebao, 2019
To solve high-dimensional and small-sample-size classification problem for underwater target recognition, a new feature fusion method is proposed based on multi-kernel sparsity preserve multi-set canonical correlation analysis.

doaj   +1 more source

Sparsity-Based Image Inpainting Detection via Canonical Correlation Analysis With Low-Rank Constraints

IEEE Access, 2018
Image inpainting, a commonly used image editing technique for filling the mask or missing areas in images, is often adopted to destroy the integrity of images by forgers with ulterior motives.
Xiao Jin, Yuting Su, Liang Zou, Yongwei Wang, Peiguang Jing, Z. Jane Wang   +5 more
doaj   +1 more source

Sparse canonical correlation analysis

, 2017
Canonical correlation analysis was proposed by Hotelling [6] and it measures linear relationship between two multidimensional variables. In high dimensional setting, the classical canonical correlation analysis breaks down. We propose a sparse canonical correlation analysis by adding l1 constraints on the canonical vectors and show how to solve it ...
Suo, Xiaotong, Minden, Victor, Nelson, Bradley, Tibshirani, Robert, Saunders, Michael   +4 more
openaire   +2 more sources

Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of metabolic syndrome.

, 2010
peer-reviewedBackground Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment.
Morine Melissa J, Aidan P Moloney, Toomey Sinead, Melissa J Morine, McMonagle, Jolene, Roche, Helen M., Gaora Peadar Ó, Moloney, Aidan P, Isobel C Gormley, Helen M Roche, O Gaora, Peadar, Peadar Ó Gaora, Roche Helen M, Moloney Aidan P, Reynolds Clare M, Sinead Toomey, Toomey, Sinead, Jolene McMonagle, Clare M Reynolds, Morine, Melissa J, McMonagle Jolene, Gormley, Isobel C, Gormley Isobel C, Reynolds, Clare M   +23 more
core   +1 more source

Cross-media retrieval method fusing with coupled dictionary learning and image regularization [PDF]

Jisuanji gongcheng, 2019
The method of cross-media retrieval mostly maps the original features of two modalities to the common subspace,and performs cross-media retrieval in the subspace,ignoring the selection of discriminant features and the relationship between modalities ...
LIU Yun,YU Zhilou,FU Qiang
doaj   +1 more source

Minimax quasi-Bayesian estimation in sparse canonical correlation analysis via a Rayleigh quotient function

, 2023
Canonical correlation analysis (CCA) is a popular statistical technique for exploring relationships between datasets. In recent years, the estimation of sparse canonical vectors has emerged as an important but challenging variant of the CCA problem, with
Yves Atchadé (6095588), Qiuyun Zhu (17180560)   +1 more
core   +2 more sources