canonical correlation analysis
National Institutes of Health
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X-ray mammography is the most widely used modality for screening breast cancer in the early stages. Computer aided detection…
In this work, a new approach for joint blind source separation (BSS) of datasets at multiple time lags using canonical…
Dimensionality Reduction is usually achieved on the feature space by adopting any one of the prescribed methods that fall under…
Over the last century Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis…
In this paper a new coherence-based feature extraction method for sonar imagery generated from two disparate sonar systems is…
culs re Abstract We propose a method for estimating face dep maps from color face images. The method is based Canonical…
We develop models for a kind of data fusion task: Combine multiple data sources under the assumption that data set specific…
The aim of this study is to derive local scale climate change scenarios for temperature and precipitation at approximately thirty…
This paper introduces a new non-linear feature extraction technique based on Canonical Correlation Analysis (CCA) with…