Music genre recognition with compressive sampling, pt. 2

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A few days ago, I wrote a bit about some work integrating compressive sampling with sparse representation classification for the problem of music genre recognition. The high accuracy that work reports first tipped me off that something wasn't right. Several other observations followed. Now that I have finished reproducing the system as described by Chang et al., and finished running my experiments, I am convinced all their results are false, and to a degree that I find rather disturbing for published research. Yes, I am claiming their results are fabricated.

I have written up my results, and have submitted a paper to ICME 2013. Here is my reproducible research package so that others can try my code:

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This page contains a single entry by Bob L. Sturm published on November 27, 2012 3:11 PM.

The general inverse problem with MAP estimation was the previous entry in this blog.

Next up for reproduction is the next entry in this blog.

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