Manifold Matching for High-Dimensional Pattern Recognition
Seiji Hotta · InTech eBooks · 2008
In this chapter manifold matching for high-dimensional pattern classification was described. The topics described in this chapter were summarized as follows: The meaning and effectiveness of manifold matching The similarity between various classifiers from the point of view of manifold matching Accuracy improvement for manifold matching Learning rules for manifold matching Experimental results on handwritten digit datasets showed that manifold matching achieved lower error rates than other classifiers such as SVM. In addition, learning improved accuracy and reduced memory requirement of manifold-based classifiers.