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Formulating Semantic Image Annotation as a Supervised Learning Problem

Air Jordan Flight 45
04:28 AM ET (US)
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Deleted by topic administrator 05-17-2008 10:16 AM
Anup Doshi
03:31 PM ET (US)
My favorite question...why did they choose the DCT as the feature set, and would this formulation work better with a different set of 'words'?
Brendan Morris
01:54 PM ET (US)
I'm fuzzy on the unsupervised learning and what the hidden states L correlate to in this problem. The annotation results are quite impressive. I'm curious what percentage of the dataset had recall = 0 and what might be the reasons for this.

As a side note it's amazing how taking Vasconcelos class helps understand the Bayesian formulation.
Robin Hewitt
10:14 AM ET (US)
How are the authors choosing the value for K in the EM algorithm...is K set to the number of semantic concepts?

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