Results 21 to 30 of about 462,841 (245)
Kernel functional canonical correlation analysis
Acta Universitatis Lodziensis. Folia Oeconomica, 2016 Canonical correlation methods for data representing functions or curves have received much attention in recent years. Such data, known in the literature as functional data (Ramsay and Silverman, 2005), has been the subject of much recent research ...
Mirosław Krzyśko, Łukasz Waszak
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Ensemble canonical correlation analysis
Applied Intelligence, 2013 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
Sakar, C. Okan +2 more
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Canonical correlation analysis: an introduction to a multivariate statistical analysis
Journal of the College of Community Physicians, 2019 No abstract ...
Nuwan Darshana Wickramasinghe
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Estimating the Number of Significant Canonical Coordinates
IEEE Access, 2019 This study proposes a novel model selection criterion for dimensionality estimation in canonical correlation analysis (CCA), which can be used to estimate the number of correlated components between two sets of multivariate vectors, particularly in the ...
Abd-Krim Seghouane, Navid Shokouhi
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Classification of Crystallographic Data Using Canonical Correlation Analysis
EURASIP Journal on Advances in Signal Processing, 2007 A reliable and automatic method is applied to crystallographic data for tissue typing. The technique is based on canonical correlation analysis, a statistical method which makes use of the spectral-spatial information characterizing X-ray diffraction ...
Lamura A, Laudadio T, Ladisa M
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Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis [PDF]
Genomics & Informatics, 2018 Recently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases.
Inyoung Jun, Wooree Choi, Mira Park
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Stochastic Canonical Correlation Analysis
, 2017 Accepted by ...
Gao, Chao +4 more
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Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence
Entropy, 2013 We propose a generalized method of the canonical correlation analysis using Alpha-Beta divergence, called AB-canonical analysis (ABCA). From observations of two random variables, x ∈ RP and y ∈ RQ, ABCA finds directions, wx ∈ RP and wy ∈ RQ, such that ...
Andrzej Cichocki, Abhijit Mandal
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Using canonical correlation analysis to discover genetic regulatory variants. [PDF]
PLoS ONE, 2010 Discovering genetic associations between genetic markers and gene expression levels can provide insight into gene regulation and, potentially, mechanisms of disease.
Melissa G Naylor +4 more
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Person re-identification by robust canonical correlation analysis [PDF]
, 2015 Person re-identification is the task to match people in surveillance cameras at different time and location. Due to significant view and pose change across non-overlapping cameras, directly matching data from different views is a challenging issue to ...
An, L, Bhanu, B, Yang, S
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