Compilation of References - Intelligent Music Information Systems: Tools and Methodologies - page 342

Proceedings of the International Symposium on Music
Information Retrieval.

Kosugi, N., Sakurai, Y. & Morimoto, M. (2004). Sound-
Compass: A practical query-by-humming system;
Normalization of scalable and shiftable time-series data
and effective subsequence generation. In Proceedings
of the 2004 ACM SIGMOD international Conference on
Management of Data (pp. 881-886) Paris, France.

Kini, A., & Shetty, S. (2002). Peer-to-peer networking
- Is this the future of network computing? Retrieved May
27, 2007, from http://www.ias.ac.in/resonance/Dec2001/
pdf/Dec2001p69-79.pdf

Koza, J. R. (1992). Genetic programming: On the pro-
gramming of computers by means of natural selection .
Cambridge: MIT Press.

Kira, K., & Rendell, I. A. (1992). The feature selection
problem: Traditional methods and a new algoirthm. In
Proceedings of the National Conference on Artificial
Intelligence (pp. 129-134). MIT Press. Kreuzer, M., & Robbiano, L. (2000). Computational

commutative algebra . Berlin - Heidelgeberg, Germany:
Springer-Verlag.

Klapuri, A. (1999). Sound onset detection by applying
psychoacoustic knowledge. In Proceedings of the IEEE
International Conference on Acoustics, Speech and
Signal Processing, ICASSP .

Krumhansl, C. L. (1989). Why is musical timbre so
hard to understand? In S. Nielsen and O. Olsson (Eds.),
Structure and perception electroacoustic sound and
music (pp. 45-53). Amsterdam, NL: Elsevier.

Klapuri, A. (n.d.) Automatic transcription of music:
Literature review. Retrieved May 21, 2007, from http://
www.cs.tut.fi/~klap/iiro/literature.html Kuhn, W. B. (1990). A real-time pitch recognition algo-

rithm for music applications. Computer Music Journal ,
14 (3), 60-71.

Klapuri, A. P. (2004). Automatic music transcription
as we know it today. Journal of New Music Research,
33 (3), 269-282. Kurth, F., Muller, M., Ribbrock, A., Roder, T., Damm,

D., & Fremerey, C. (2004). A prototypical service for
real-time access to local context-based music informa-
tion . Barcelona, Spain: ISMIR.

Kline, R. L. & Glinert, E. P. (2003). Approximate match-
ing algorithms for music information retrieval using
vocal input. In Proceedings of the 11 th ACM Confer-
ence on Multimedia (MM'03) (pp. 130-139) Berkeley,
California.

Kwok, S., & Lui, S. (2000). A license management model
to support B2C and C2C music sharing . Retrieved May 27,
2007, from http://www10.org/cdrom/posters/1008.pdf

Kline, R. L. (2002). Algorithms for error tolerant in-
formation retrieval from music databases using vocal
input. Unpublished doctoral dissertation. Rensselaer
Polytechnic Institute, Troy, NY.

Kwok, S., & Lui, S. (2002). A license management model
for peer-to-peer music sharing. World Scientific Publish-
ing Company, 1 (3), 541-558.

Kohonen, T. (1988). Self-organization and associative
memory . Berlin: Springer-Verlag.

Kwok, S., Lang, & Kar, Y. (2002). Peer-to-peer technology
business and service models: Risks and opportunities.
Electronic Markets, 12 (3), 175-183.

Kostek, B., & Wieczorkowska, A. (1997). Parametric
representation of musical sound. Archive of Acoustics
(pp. 3-26).

Laita, L. M., Roanes Lozano, E., & Alonso, J. A. (Guest
Eds.). (2004). Symbolic computation in logic and arti-
ficial intelligence [Special Issue]. RACSAM, Revista de
la Real Academia de Ciencias de España, Serie “A”
Matemáticas, 98 (1-2).

Kosugi, N., Nishihara, Y., Sakata, T., Yamamuro, M.
& Kushima, K. (2000). A practical query-by-humming
system for a large music database. In Proceedings of
the 8th ACM Conference on Multimedia (MM'00) (pp.
333-342) Marina del Rey, California.

Laita, L. M., Roanes-Lozano, E., de Ledesma, L., &
Alonso, J. A. (1999). A computer algebra approach to