@conference {cHaro07,
	title = {Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds},
	booktitle = {Neural Information Processing Systems NIPS},
	year = {2007},
	month = {12/2007},
	publisher = {NIPS},
	organization = {NIPS},
	address = {Montreal},
	abstract = {<p>The study of point cloud data sampled from a stratification, a collection of manifolds with possible different dimensions, is pursued in this paper. We present a technique for simultaneously soft clustering and estimating the mixed dimensionality and density of such structures. The framework is based on a maximum likelihood estimation of a Poisson mixture model. The presentation of the approach is completed with artificial and real examples demonstrating the importance of extending manifold learning to stratification learning.</p>},
	author = {Haro, G. and Randall, Gregory and Sapiro, Guillermo}
}
