Support vector machine active learning for music retrieval

Author:

Mandel Michael I.,Poliner Graham E.,Ellis Daniel P. W.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Reference32 articles.

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3. Berenzweig, A., Ellis, D.P.W., Lawrence, S.:Using voice segmentsto improve artist classification of music. In: Proceedings of AES International Conference on Virtual, Synthetic, and Entertainment Audio. Espoo, Finland (2002)

4. Berenzweig, A., Ellis, D.P.W., Lawrence, S.: Anchor space for classification and similarity measurement of music. In: Proceedings of IEEE International Conference on Multimedia & Expo, pp. 29–32 (2003)

5. Berenzweig, A., Logan, B., Ellis, D.P.W., Whitman, B.: A large-scale evalutation of acoustic and subjective music similarity measures. In: Proceedings International Conference on Music Information Retrieval, pp. 103–109 (2003)

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