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Regularized canonical correlation analysis

Known as: Regularized canonical-correlation analysis 
Regularized canonical correlation analysis is a way of using ridge regression to solve the singularity problem in the cross-covariance matrices of… 
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Papers overview

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2019
2019
Multi-omics datasets are very high-dimensional in nature and have relatively fewer number of samples compared to the number of… 
2016
2016
Canonical correlation analysis(CCA) is a popular technique that works for finding the correlation between two sets of variables… 
2016
2016
A method for spotting specific words in sign language video is proposed. In classes and talks given using Japanese Sign Language… 
2015
2015
Joint modeling of language and vision has been drawing increasing interest. A multimodal data representation allowing for… 
2013
2013
Proper control of distillation columns requires estimating some key variables that are challenging to measure online (such as… 
2013
2013
Operating distillation columns under control requires inferring the compositions of the distillate and bottom streams (which are… 
Review
2012
Review
2012
Inferential models are widely used in the chemical industry to infer key process variables, which are challenging or expensive to… 
2012
2012
The current investigations were carried out in the context of a nutritional case study aiming at assessing the postnatal impact… 
Review
2002
Review
2002
This Ph.D. thesis proposes methods for information retrieval in functional neuroimaging through automatic computerized authority…