Semi-supervised dimensionality reduction based on sparsity representation
Jiao Guo · Computer Engineering and Applications Journal · 2011
A Semi-Supervised Dimensionality Reduction method based on Sparsity Representation(SpSSDR) is proposed.Unlike other semi-supervised dimensionality reduction methods that construct graphs in steps,SpSSDR simultaneously defines the connectivity and the edges’weights of a graph via sparsity reconstruction coefficients,and then exploits pairwise constraints for dimensionality reduction.Experiments on high dimensional facial data show that SpSSDR is not only robust to noise but also making use of pairwise constraints efficiently.