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Bayesian modelling of music: algorithmic advances and experimental studies of shift invariant sparse coding

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Figure

Table 4.1: Shift-invariant learning algorithm via EM.
Table 5.1: Shift-invariant learning algorithm with the importance sampler.
Figure 6.1:Histogram of MIDI note velocities (solid) versus the modifiedRayleigh distribution (dashed)
Figure 7.1: The twelve notes used to generate the test signal.
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