Publikationsansicht

R.: Genre classification via an lz78-based string kernel (2005)

Abstract
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector Machine classifier, and demonstrate its use for an audio genre classification task. Our classification scheme involves a relatively small number of low-level audio features, is efficient to compute, yet generates an accuracy which compares well with recent works.

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.2435
Quelle http://ismir2005.ismir.net/proceedings/1116.pdf
Mitarbeiter CiteSeerX
Archiv CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords genre, classification, LZ78 String Kernel
Typ text
Sprache Englisch
Verknüpfungen 10.1.1.47.6608, 10.1.1.14.2892, 10.1.1.121.9421, 10.1.1.129.6281, 10.1.1.39.6260, 10.1.1.1.3346, 10.1.1.5.7586, 10.1.1.3.5350, 10.1.1.109.820, 10.1.1.14.6709, 10.1.1.109.6641, 10.1.1.117.1643, 10.1.1.107.1824, 10.1.1.90.500