Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence   We propose a greedy mixture reduction algorithm which is capable of pruning
mixture components as well as merging them based on the Kullback-Leibler
divergence (KLD). The algorithm is distinct from the well-known Runnalls' KLD
based method since it is not restricted to merging operations. The capability
of pruning (in addition to merging) gives the algorithm the ability of
preserving the peaks of the original mixture during the reduction. Analytical
approximations are derived to circumvent the computational intractability of
the KLD which results in a computationally efficient method. The proposed
algorithm is compared with Runnalls' and Williams' methods in two numerical
examples, using both simulated and real world data. The results indicate that
the performance and computational complexity of the proposed approach make it
an efficient alternative to existing mixture reduction methods.

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The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin