FACIAL DEPRESSION RECOGNITION BY DEEP JOINT LABEL DISTRIBUTION AND METRIC LEARNING

 In mental health assessment, it is validated that nonverbal cues like facial expressions can be indicative of depressive disorders. Recently, the multimodal fusion of facial appearance and dynamics based on convolutional neural networks has demonstrated encouraging performance in depression analysis. However, correlation and complementarity between...

DEEP LEARNING METRIC LEARNING

FACIAL DEPRESSION RECOGNITION BY DEEP JOINT LABEL DISTRIBUTION AND METRIC LEARNING

 In mental health assessment, it is validated that nonverbal cues like facial expressions can be indicative of depressive disorders. Recently, the multimodal fusion of facial appearance and dynamics based on convolutional neural networks has demonstrated encouraging performance in depression analysis. However, correlation and complementarity between...

METRIC LEARNING DEEP JOINT LABEL DISTRIBUTION

Transfer Relation Network for Fault Diagnosis of Rotating Machinery With Small Data

 Many deep-learning methods have been developed for fault diagnosis. However, due to the difficulty of collecting and labeling machine fault data, the datasets in some practical applications are relatively much smaller than the other big data benchmarks. In addition, the fault data come from different machines. Therefore, on some occasions, fault di...