A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is
2009 IEEE/SP 15th Workshop on Statistical Signal Processing
We propose a simple and efficient way for pattern recognition and signal classification within the Diffusion Framework. Our proposed Node Connectivity Matching (NCM) method is derived from the diffusion distance. However, instead of computing the eigenvalues/eigenvectors of the normalized diffusion matrix on the graph constructed from the data, as required when approximating the diffusion distance, we treat each row of the normalized diffusion matrix as a training histogram of nodedoi:10.1109/ssp.2009.5278633 fatcat:nkphvaepi5b4jgtb3dsuhesokq