Multi-view dimensionality reduction via canonical random correlation analysis
Y Zhang, J Zhang, Z Pan, D Zhang - Frontiers of Computer Science, 2016 - Springer
Canonical correlation analysis (CCA) is one of the most well-known methods to extract
features from multi-view data and has attracted much attention in recent years. However …
features from multi-view data and has attracted much attention in recent years. However …
Locality discriminative canonical correlation analysis for kinship verification
X Lei, B Li, J Xie - 2017 12th IEEE conference on industrial …, 2017 - ieeexplore.ieee.org
Metric learning has been widely used in face and kinship verification and a number of such
algorithms have been proposed over the past decade. However, human face kinship …
algorithms have been proposed over the past decade. However, human face kinship …
OLPP-based Gabor feature dimensionality reduction for facial expression recognition
L Wang, R Li, K Wang, C Cao - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
In facial expression recognition, high dimensional feature processing is still a hot topic since
the solution to this problem can considerably reduce the time consuming operation and …
the solution to this problem can considerably reduce the time consuming operation and …
Covariate-Related Structure Extraction from Paired Data
In the biological domain, it is more and more common to apply several high-throughput
technologies to the same set of samples. We propose a Covariate-Related Structure …
technologies to the same set of samples. We propose a Covariate-Related Structure …