Results 21 to 30 of about 1,105,140 (302)
A Jacobi–Davidson Method for Large Scale Canonical Correlation Analysis
In the large scale canonical correlation analysis arising from multi-view learning applications, one needs to compute canonical weight vectors corresponding to a few of largest canonical correlations.
Zhongming Teng, Xiaowei Zhang
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Ensemble canonical correlation analysis
Canonical Correlation Analysis (CCA) aims at identifying linear dependencies between two different but related multivariate views of the same underlying semantics. Ignoring its various extensions to more than two views, CCA uses these two views as complex labels to guide the search of maximally correlated projection vectors (covariates). Therefore, CCA
Cemal Okan Sakar +2 more
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A rotation method for computing canonical correlations [PDF]
RESP ...
Healy, M. J. R., M. J. R. Healy
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PerseusDL/canonical-greekLit: None
XML Canonical resources for Greek ...
Jeroen Hellingman +19 more
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Canonical correlations among grapevine agronomic and processing characteristics
Canonical correlation analysis allows conclusions to be drawn about the occurrence and magnitude of associations between two groups of characteristics.
Adeliano Cargnin
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Screening of Popcorn Genotypes for Drought Tolerance Using Canonical Correlations
Getting around the damage caused by drought is a worldwide challenge, particularly in Brazil, given that economy is based on agricultural activities, including popcorn growing.
Samuel Henrique Kamphorst +11 more
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Stochastic Canonical Correlation Analysis
We study the sample complexity of canonical correlation analysis (CCA), \ie, the number of samples needed to estimate the population canonical correlation and directions up to arbitrarily small error. With mild assumptions on the data distribution, we show that in order to achieve $ε$-suboptimality in a properly defined measure of alignment between the
Chao Gao +4 more
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Neurons as Canonical Correlation Analyzers [PDF]
Normative models of neural computation offer simplified yet lucid mathematical descriptions of murky biological phenomena. Previously, online Principal Component Analysis (PCA) was used to model a network of single-compartment neurons accounting for weighted summation of upstream neural activity in the soma and Hebbian/anti-Hebbian synaptic learning ...
Cengiz Pehlevan +4 more
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Este artigo discute um modelo de previsão combinada para a realização de prognósticos climáticos na escala sazonal. Nele, previsões pontuais de modelos estocásticos são agregadas para obter as melhores projeções no tempo. Utilizam-se modelos estocásticos
Paulo Sérgio Lúcio +11 more
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PerseusDL/canonical-latinLit: None
XML Canonical resources for Latin ...
Marius Jøhndal +19 more
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