Results 241 to 250 of about 15,041 (261)
Some of the next articles are maybe not open access.
Distributed sparse canonical correlation analysis in clustering sensor data
2013 Asilomar Conference on Signals, Systems and Computers, 2013The problem of determining information-bearing sensors in the presence of multiple field sources and (non-)linear data models is considered. To this end, a novel canonical correlation analysis (CCA) framework combined with norm-one regularization is introduced to identify correlated measurements across the distributed sensors and cluster the sensor ...
Jia Chen 0002, Ioannis D. Schizas
openaire +1 more source
An Iterative Penalized Least Squares Approach to Sparse Canonical Correlation Analysis
Biometrics, 2019AbstractIt is increasingly interesting to model the relationship between two sets of high-dimensional measurements with potentially high correlations. Canonical correlation analysis (CCA) is a classical tool that explores the dependency of two multivariate random variables and extracts canonical pairs of highly correlated linear combinations. Driven by
Qing Mai, Xin Zhang
openaire +2 more sources
Discriminative Sparse Generalized Canonical Correlation Analysis (DSGCCA)
2019 Chinese Automation Congress (CAC), 2019Multi-view learning (MVL) is a strategy for fusing multi-view data, which has better generalization performance than single-view learning algorithms. Canonical correlation analysis (CCA) is a representative multi-view subspace learning approach, which plays an important role in MVL classification and information retrieval.
Chenfeng Guo, Dongrui Wu
openaire +1 more source
eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis
2013 12th International Conference on Machine Learning and Applications, 2013While genome-wide association studies (GWAS) have focused on discovering genetic loci mapped to a disease, expression quantitative trait loci (eQTL) studies combine micro array data and provide a powerful approach. Micro arrays allow one to measure thousands of gene expressions simultaneously and the advances in eQTL studies enable one to capture the ...
Mingon Kang +6 more
openaire +1 more source
Data-Driven Process Monitoring Using Structured Joint Sparse Canonical Correlation Analysis
IEEE Transactions on Circuits and Systems II: Express Briefs, 2021Xianchao Xiu, Ying Yang, Wanquan Liu
exaly
Sparse Canonical Correlation Analysis With Preserved Sparsity
IEEE Transactions on Knowledge and Data EngineeringAbd-Krim Seghouane +3 more
openaire +1 more source
Sparse canonical correlation analysis algorithm with alternating direction method of multipliers
Communications in Statistics Part B: Simulation and Computation, 2020Qiusheng Wang
exaly