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» Classification of musical genre: a machine learning approach
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109
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ISMIR
2005
Springer
165views Music» more  ISMIR 2005»
15 years 7 months ago
Inferring Efficient Hierarchical Taxonomies for MIR Tasks: Application to Musical Instruments
A number of approaches for automatic audio classification are based on hierarchical taxonomies since it is acknowledged that improved performance can be thereby obtained. In this...
Slim Essid, Gaël Richard, Bertrand David
MICCAI
2002
Springer
16 years 2 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
SIGIR
2010
ACM
15 years 5 months ago
Effective music tagging through advanced statistical modeling
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
ICML
2009
IEEE
16 years 2 months ago
Bayesian inference for Plackett-Luce ranking models
This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...
John Guiver, Edward Snelson
111
Voted
ICML
2006
IEEE
16 years 2 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon