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Research map / Learning theory and algorithms / Prediction and decision losses

Discriminative Analysis Dictionary Learning

AAAI 2016 · Learning theory and algorithms › Prediction and decision losses · approach: Ranking-based loss optimization · 68 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use DADL (code consistency, triplet topology loss, correntropy) instead of ADL+SVManalysis dictionary learning · Caltech 101accuracy (%): 64.5 -> 74.6Helped
Use DADL instead of ADL+SVManalysis dictionary learning · Scene 15accuracy (%): 90.1 -> 98.3Helped
Use DADL instead of DPL (synthesis+analysis pair)dictionary learning classification · YaleBaccuracy (%): 97.5 -> 97.7No clear effect
Use DADL instead of DPLdictionary learning classification · Scene 15accuracy (%): 97.7 -> 98.3Helped
Use DADL instead of DPLdictionary learning classification · UCF 50accuracy (%): 77.4 -> 78.0Helped
Use DADL instead of DPLdictionary learning classification · UCF 50training time (s): 652.03 -> 330.23Helped
Use DADL instead of DPLdictionary learning classification · Caltech 101training time (s): 180.54 -> 121.47Helped
Use DADL instead of DPLdictionary learning classification · UCF 50testing time (ms): 1.62 -> 1.48Helped
Vary sigma in [7,13] and lambda1 in [10,15] (ablation)DADL · all datasetsaccuracy (%)No clear effect

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