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Unsupervised analysis of polyphonic music by sparse coding

Abdallah, SA and Plumbley, MD (2006) Unsupervised analysis of polyphonic music by sparse coding IEEE TRANSACTIONS ON NEURAL NETWORKS, 17 (1). pp. 179-196.

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Item Type: Article
Authors :
NameEmailORCID
Abdallah, SAUNSPECIFIEDUNSPECIFIED
Plumbley, MDm.plumbley@surrey.ac.ukUNSPECIFIED
Date : 1 January 2006
Identification Number : https://doi.org/10.1109/TNN.2005.861031
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Hardware & Architecture, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Computer Science, Engineering, learning overcomplete dictionaries, polyphonic music, probabilistic modeling, redundancy reduction, sparse factorial coding, unsupervised learning, INDEPENDENT COMPONENT ANALYSIS, SOURCE SEPARATION, NATURAL IMAGES, ALGORITHMS, SIGNALS, STATISTICS, EMERGENCE, SYSTEM, CELLS, CODE
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:19
Last Modified : 17 May 2017 15:10
URI: http://epubs.surrey.ac.uk/id/eprint/838757

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