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DETONATION CLASSIFICATION FROM ACOUSTIC SIGNATURE WITH THE RESTRICTED BOLTZMANN MACHINE
2012
Computational intelligence
We compare the recently proposed Discriminative Restricted Boltzmann Machine to the classical Support Vector Machine on a challenging classification task consisting in identifying weapon classes from audio signals. The three weapon classes considered in this work (mortar, rocket and rocket-propelled grenade), are difficult to reliably classify with standard techniques since they tend to have similar acoustic signatures. In addition, specificities of the data available in this study makes it
doi:10.1111/j.1467-8640.2012.00419.x
fatcat:65o2c3meo5gsnngzenbh4w3flu