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Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes

Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks

CVPR 2017 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: Nonparametric and PAC-Bayes Bayesian learning · 22 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use a hierarchical Bayesian neural network instead of hierarchical Bayesian multinomial regressionGesture recognition with known subject membership · MSRC-12, ChaLearn 2013, and NATOPSF1-scoreHelped
Use subject-specific hierarchical models instead of pooling all subjects into one Bayesian neural networkHBNN · MSRC-12, ChaLearn 2013, and NATOPSF1-scoreHelped
Use hierarchical multinomial regression instead of a pooled Bayesian neural networkGesture recognition · MSRC-12F1-scoreHelped
Use hierarchical multinomial regression instead of a pooled Bayesian neural networkGesture recognition · ChaLearn 2013 and NATOPSF1-scoreHurt
Use weighted Bayesian model averaging instead of naive uniform Bayesian model averaging (ablation)HBNN with unknown subject membership · MSRC-12 and NATOPSF1-scoreHelped
Use weighted Bayesian model averaging instead of naive uniform Bayesian model averaging (ablation)HBNN with unknown subject membership · ChaLearn 2013F1-scoreNo clear effect
Use known subject membership instead of inferring membership (ablation)HBNN · MSRC-12 and NATOPSF1-scoreHelped
Use known subject membership instead of inferring membership (ablation)HBNN · ChaLearn 2013F1-scoreNo clear effect
Select personalization examples with BALD instead of at random (ablation)HBNN personalization · MSRC-12, when personalization instances per gesture exceed 1F1-scoreHelped
Select personalization examples with BALD instead of at random (ablation)HBNN personalization · NATOPS, when personalization instances per gesture exceed 3F1-scoreHelped
Select personalization examples with BALD instead of at random (ablation)HBNN personalization · ChaLearn 2013, when personalization instances per gesture exceed 4F1-scoreHelped
Use BALD instead of random selection with very few personalization examples (ablation)HBNN personalization · MSRC-12, NATOPS, and ChaLearn 2013F1-scoreNo clear effect

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