Department of Electrical and Computer Engineering
Rutgers University, Piscataway, NJ 08854, USA
A technique is presented to combine n data points, each available
with point-dependent uncertainty, when only a subset of these
points come from N << n sources, where N is unknown.
We detect the significant modes of the underlying multivariate
probability distribution using a generalization of the nonparametric
mean shift procedure. The number of detected modes
automatically defines N, while the appurtenance of a point
to the basin of attraction of a mode provides the fusion rule.
IEEE Workshop on Learning in Computer Vision and Pattern
Recognition, Madison, WI, June 2003.
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