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Multiple Feature Fusion for Automatic Emotion Recognition Using EEG Signals.

, , , , , and . ICASSP, page 896-900. IEEE, (2018)

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On the role of sparsity in feature selection and an innovative method LRMI., , and . Neurocomputing, (2018)A Unified Facial Feature Pointdatabase., , , and . CCBR, volume 8833 of Lecture Notes in Computer Science, page 145-154. Springer, (2014)Accelerating Spatio-Temporal Deep Reinforcement Learning Model for Game Strategy., and . ICONIP (3), volume 11303 of Lecture Notes in Computer Science, page 303-312. Springer, (2018)A KFCM and SIFT Based Matching Approach to Similarity Retrieval of Images., , , , and . ICIG, page 372-377. IEEE Computer Society, (2009)A Simplified Active Shape Model for Speeding-Up Facial Features Detection., , and . CCBR, volume 8232 of Lecture Notes in Computer Science, page 89-96. Springer, (2013)A Novel FOD Classification System Based on Visual Features., , , and . ICIG (1), volume 9217 of Lecture Notes in Computer Science, page 288-296. Springer, (2015)Multimodal Fusion of Spatial-Temporal Features for Emotion Recognition in the Wild., and . PCM (1), volume 10735 of Lecture Notes in Computer Science, page 205-214. Springer, (2017)Ultra-deep Neural Network for Face Anti-spoofing., and . ICONIP (2), volume 10635 of Lecture Notes in Computer Science, page 686-695. Springer, (2017)Coherence Analysis of Metrics in LBP Space for Interactive Face Retrieval., , and . MMM (1), volume 8325 of Lecture Notes in Computer Science, page 13-24. Springer, (2014)Experiments in Mental Face Retrieval., and . AVBPA, volume 3546 of Lecture Notes in Computer Science, page 637-646. Springer, (2005)