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Multimodal continuous affect recognition based on LSTM and multiple kernel learning.

J. Wei, E. Pei, D. Jiang, H. Sahli, L. Xie, and Z. Fu. APSIPA, page 1-4. IEEE, (2014)

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Video Realistic Mouth Animation Based on an Audio Visual DBN Model with Articulatory Features and Constrained Asynchrony.D. Jiang, P. Liu, I. Ravyse, H. Sahli, and W. Verhelst. ICIG, page 658-662. IEEE Computer Society, (2009)Simple solution for visual servoing of camera-in-hand robots in the 3d Cartesian space.L. Hernandez, R. Gonzalez, H. Sahli, J. Gonzalez, and Y. Guerra. ICARCV, page 2020-2025. IEEE, (2008)Monocular 3D facial information retrieval for automated facial expression analysis.M. Oveneke, I. Gonzalez, W. Wang, D. Jiang, and H. Sahli. ACII, page 623-629. IEEE Computer Society, (2015)A Novel DBN Model for Large Vocabulary Continuous Speech Recognition and Phone Segmentation.G. Lv, D. Jiang, H. Sahli, R. Zhao, and W. Verhelst. Artificial Intelligence and Pattern Recognition, page 397-402. ISRST, (2007)Dimensional emotion driven facial expression synthesis based on the multi-stream DBN model.H. Wu, D. Jiang, Y. Zhao, and H. Sahli. APSIPA, page 1-6. IEEE, (2012)Relevance units machine based dimensional and continuous speech emotion prediction.F. Wang, H. Sahli, J. Gao, D. Jiang, and W. Verhelst. Multimedia Tools Appl., 74 (22): 9983-10000 (2015)A Multi-stage Online Signature Verification System.E. Nyssen, H. Sahli, and K. Zhang. Pattern Anal. Appl., 5 (3): 288-295 (2002)A biomechanical model for image-based estimation of 3D face deformations.I. Ravyse, and H. Sahli. ICASSP, page 1089-1092. IEEE, (2008)A New Framework for Modelling and Monitoring the Conversion of Cultivated Land to Built-up Land Based on a Hierarchical Hidden Semi-Markov Model Using Satellite Image Time Series.Y. Yuan, L. Lin, J. Chen, H. Sahli, Y. Chen, C. Wang, and B. Wu. Remote Sensing, 11 (2): 210 (2019)A Bayesian formulation of edge-stopping functions in nonlinear diffusion.A. Pizurica, I. Vanhamel, H. Sahli, W. Philips, and A. Katartzis. IEEE Signal Process. Lett., 13 (8): 501-504 (2006)

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Multimodal continuous affect recognition based on LSTM and multiple kernel learning.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multimodal continuous affect recognition based on LSTM and multiple kernel learning.

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Multimodal continuous affect recognition based on LSTM and multiple kernel learning.