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ResearchFormerly WizWand

Anomaly Detection on Robot-assisted feeding dataset

87.1AUCLSTM-VAE
49.056858.933468.8178.6866Nov 2, 2017
Updated 8mo ago

Evaluation results

MethodLinks
LSTM-VAEInput=17 raw sensory signals2017.1187.1
LSTM-VAEInput=4 hand-engineered features2017.1185.64
AEInput=4 hand-engineered features2017.1181.23
HMM-GPInput=4 hand-engineered features2017.1181.21
EncDec-ADInput=17 raw sensory signals2017.1180.75
AEInput=17 raw sensory signals2017.1180.12
EncDec-ADInput=4 hand-engineered features2017.1179.95
OSVMInput=4 hand-engineered features2017.1174.27
OSVMInput=17 raw sensory signals2017.1173.76
RandomInput=4 hand-engineered features2017.1151.21
RandomInput=17 raw sensory signals2017.1150.52