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Depth-based action recognition using multiscale sub-actions depth motion maps and local auto-correlation of space-time gradients.

, , , and . BTAS, page 1-7. IEEE, (2016)

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Face Recognition Based on Weighted Multi-order Feature Fusion of 2D-FrFT., , , and . IFTC, volume 685 of Communications in Computer and Information Science, page 137-145. Springer, (2016)A fisher discriminant framework based on Kernel Entropy Component Analysis for feature extraction and emotion recognition., , , and . ICME Workshops, page 1-6. IEEE Computer Society, (2014)Action recognition using multi-layer Depth Motion maps and Sparse Dictionary Learning., , , and . MMSP, page 1-6. IEEE, (2015)3D Action Recognition Using Depth-Based Feature and Locality-Constrained Affine Subspace Coding., , , and . ISM, page 261-266. IEEE Computer Society, (2016)Posture Selection Based on Two-Layer AP with Application to Human Action Recognition Using HMM., , and . ISM, page 359-364. IEEE Computer Society, (2016)Face Classification via a Novel Two-Dimensional Extreme Learning Machine., , and . BIC-TA, volume 472 of Communications in Computer and Information Science, page 566-570. Springer, (2014)Rotation Invariance in 2D-FRFT with Application to Digital Image Watermarking., , , , , and . J. Signal Process. Syst., 72 (2): 133-148 (2013)Channel estimation for MIMO-OFDM systems based on Subspace Pursuit algorithm., , and . ISCAS, page 1151-1154. IEEE, (2013)Heterogeneous Features Fusion with Collaborative Representation Learning for 3D Action Recognition., , , and . ISM, page 162-168. IEEE Computer Society, (2017)Energy-Guided Temporal Segmentation Network for Multimodal Human Action Recognition., , , , and . Sensors, 20 (17): 4673 (2020)