nips nips2000 nips2000-79 nips2000-79-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Marina Meila, Jianbo Shi
Abstract: We present a new view of image segmentation by pairwise similarities. We interpret the similarities as edge flows in a Markov random walk and study the eigenvalues and eigenvectors of the walk's transition matrix. This interpretation shows that spectral methods for clustering and segmentation have a probabilistic foundation. In particular, we prove that the Normalized Cut method arises naturally from our framework. Finally, the framework provides a principled method for learning the similarity function as a combination of features. 1