Learning A Metric For Music Similarity. - Concepedia

Concepedia

Publication | Open Access

Learning A Metric For Music Similarity.

DOI Full Paper Access

83

Citations

10

References

2008

Year

Malcolm Slaney, Kilian Q. Weinberger, William White

Unknown Venue

Abstract

[TODO] Add abstract here.

References

	Year	Citations
Nearest neighbor pattern classification Thomas M. Cover, Peter E. Hart IEEE Transactions on Information Theory Bayesian Decision TheoryEngineeringMachine LearningBayesian InferenceClassification Method	1967	15.4K
On the generalized distance in statistics P. C. Mahalanobis SHILAP Revista de lepidopterología EngineeringGeneralized DistanceStatistical InferenceProbability TheoryStatistical Science	1936	6K
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets Robert C. Holte Machine Learning	1993	1.8K
Neighbourhood Components Analysis Jacob Goldberger, Geoffrey E. Hinton, Sam T. Roweis,	2004	1.7K
Distance Metric Learning for Large Margin Nearest Neighbor Classification Kilian Q. Weinberger, John Blitzer, Lawrence K. Saul EngineeringMachine LearningSupport Vector MachineClassification MethodImage Analysis	2005	1.7K
Learning a Mahalanobis Metric from Equivalence Constraints Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Journal of Machine Learning Research EngineeringMachine LearningClass Covariance MatrixUnsupervised Machine LearningImage Analysis	2005	515
An optimal transformation for discriminant and principal component analysis Jacques Duchêne, Sylvie Leclercq IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringBiometricsGeneral MethodData ScienceData Mining	1988	202
Similarity Based On Rating Data. Malcolm Slaney, William White	2007	36
A Model-Based Approach to Constructing Music Similarity Functions Kris West, Paul Lamere EURASIP Journal on Advances in Signal Processing MusicComputational MusicologyMusic GenerationData ScienceMusic Classification	2006	35
Music analysis and retrieval systems for audio signals George Tzanetakis, Perry R. Cook Journal of the American Society for Information Science and Technology MusicEngineeringNon‐speech Digital AudioSpeech RecognitionAudio Signal Processing	2004	29

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