The Community for Technology Leaders
Green Image
Issue No. 01 - January (1980 vol. 2)
ISSN: 0162-8828
pp: 61-67
Theodore Cotsidas , Department of Electrical Engineering, State University of New York at Buffalo, Amherst, NY 14260.
Dimitri Kazakos , Department of Electrical Engineering, State University of New York at Buffalo, Amherst, NY 14260.
ABSTRACT
The problem of approximating a probability density function by a simpler one is considered from a decision theory viewpoint. Among the family of candidate approximating densities, we seek the one that is most difficult to discriminate from the original. This formulation leads naturaliy to the density at the smallest Bhattacharyya distance. The resulting optimization problem is analyzed in detail.
INDEX TERMS
CITATION
Theodore Cotsidas, Dimitri Kazakos, "A Decision Theory Approach to the Approximation of Discrete Probability Densities", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 2, no. , pp. 61-67, January 1980, doi:10.1109/TPAMI.1980.4766971
103 ms
(Ver )