Results 191 to 200 of about 14,660 (227)

Accounting for Structured Missingness in Canonical Correlation Analysis

Radosavljević L, Smith SM, Nichols TE.
europepmc   +1 more source

Sufficient Canonical Correlation Analysis [PDF]

IEEE Transactions on Image Processing, 2016
Canonical correlation analysis (CCA) is an effective way to find two appropriate subspaces in which Pearson’s correlation coefficients are maximized between projected random vectors.
Yiwen Guo, Jing-Hao Xue
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Canonical correlation analysis (CCA) for ARMA spectral estimation

IEEE International Symposium on Circuits and Systems, 2003
The canonical correlation analysis (CCA) of rational system identification is investigated for autoregressive moving-average (ARMA) spectral estimation at low SNR. The method is used to compute the parameters of the state-space Markovian model and its spectrum using CCA.
S. Kiaei, L. Luo
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Analysis of phase coding SSVEP based on canonical correlation analysis (CCA)

2011 5th International IEEE/EMBS Conference on Neural Engineering, 2011
Steady-state visual evoked potential (SSVEP) has been widely applied in brain computer interface (BCI) systems. The amplitude and phase features of SSVEP were commonly extracted by Fourier analysis method from single-channel EEG data. In the multichannel case, canonical correlation analysis (CCA) has been utilized for the analysis of frequency coding ...
Yun Li, Guangyu Bin, Xiaorong Gao, Bo Hong, Shangkai Gao   +4 more
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Model selection in canonical correlation analysis (CCA) using Bayesian model averaging

Environmetrics, 2004
AbstractUnderstanding the relationship between ecological indicators and environmental stressors is difficult. One problem is that the environmental data often consist of a large number of variables. The relationship between ecological data and environmental data is investigated using canonical correlation analysis with Bayesian model averaging used to
Robert Noble, Eric P. Smith, Keying Ye
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Estimation of the mechanical properties of steel via LIBS combined with canonical correlation analysis (CCA) and support vector regression (SVR)

Journal of Analytical Atomic Spectrometry, 2018
The mechanical properties of steel with different aging degree microstructure was estimated by combining LIBS and chemometrics (CCA and SVR).
Jianwei Huang, Meirong Dong, Shengzi Lu, Wenbing Li, Jidong Lu, Chunyi Liu, Jong H. Yoo   +6 more
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Heavy metals relationship with water and size-fractionated sediments in rivers using canonical correlation analysis (CCA) case study, rivers of south western Caspian Sea

Environmental Monitoring and Assessment, 2016
Some pollutants can qualitatively affect aquatic freshwater such as rivers, and heavy metals are one of the most important pollutants in aquatic fresh waters. Heavy metals can be found in the form of components dissolved in these waters or in compounds with suspended particles and surface sediments.
Ali Vosoogh, Mohsen Saeedi, Raziyeh Lak
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Invasion Corrected Fluid Saturations, from Standalone Consonant Nuclear Measurements, Using Canonical-Correlation Analysis (CCA) of Logging-While-Drilling (LWD) Time-Lapse Data

SPE Middle East Oil & Gas Show and Conference, 2015
Abstract Fluids saturations in new wells are usually derived from resistivity measurements, using locally selected or calibrated resistivity equations. Some drawbacks to resistivity measurements are multiple environmental corrections in high-angle wells, thin beds, washed-out boreholes, and complex invasion profiles.
Khadeeja A. Al-Daghar, Mudar M. Atfeh, Atef F. Aal, Vikas Jain, Doug R. Murray, Chanh Cao Minh, Kais Gzara   +6 more
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