[1] Lien J., Automatic Recognition of Facial Expressions Using Hidden Markov Models and Estimation of Expression Intensity; Electrical Engineering, Washington University, 1998.
[2] Gallegos D.R., Tranel D., Positive facial affect facilitates the identification of famous faces; Brain and Language, 2005; 93(3): 338-348.
[3] Bartlett M.S., Littlewort G., Frank M., et al., Fully Automatic Facial Action Recognition in Spontaneous Behavior; in Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on, 2006: 223-230.
[4] Littlewort G., Bartlett M.S., Fasel I., et al., Dynamics of facial expression extracted automatically from video; Image and Vision Computing, 2006; 24: 615-625.
[5] Kotsia I., Pitas I., Facial expression recognition in image sequences using geometric deformation features and support vector machines; IEEE Trans. Image Processing, 2007; 16(1): 172-187.
[6] Pantic M., Patras I., Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences; Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 2006; 36(2): 433-449.
[7] Calder A.J., Young A.W., Understanding the recognition of facial identity and facial expression; Nature Reviews Neuroscience, 2005; 6(8): 641-651.
[8] Zhang Y., Ji Q., Active and Dynamic Information Fusion for Facial Expression Understanding from Image Sequences; Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2005; 27(5): 699-714.
[9] Ulukaya S., Affect recognition from facial expressions for human computer interaction; MScİstanbul, 2011.
[10] Cohen I., Sebe N., Garg A., et al., Facial expression recognition from video sequences: temporal and static modeling; Computer Vision and Image Understanding, 2003; 91: 160-187.
[11] Xuan T.W., Rapid speaker adaptation by variable reference model subspace; Université de Rennes 2008.
[12] Niyogi P., Girosi F., Poggio T., Incorporating prior information in machine learning by creating virtual examples; Proceedings of the IEEE, 1998; 86(11): 2196-2209.
[13] Mohammadzade H., Hatzinakos D., Projection into Expression Subspaces for Face Recognition from Single Sample per Person; Affective Computing, IEEE Transactions on, 2013; 4(1): 69-82.
[14] Gu W., C. X. Ã, Venkatesh Y.V., et al., Facial expression recognition using radial encoding of local Gabor features and classifier synthesis; Pattern Recognition, 2012; 45(1): 80-91.
[15] Fan W., Bouguila N., Novel approaches for synthesizing video textures; Expert Systems with Applications, 2012; 39(1): 828-839.
[16] Mohammadzade H., Hatzinakos D., An expression transformation for improving the recognition of expression-variant faces from one sample image per person; in Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on, 2010: 1-6.
[17] Spangler S.M., Schwarzer G., Korell M., et al., The relationships between processing facial identity, emotional expression, facial speech, and gaze direction during development; Journal of Experimental Child Psychology, 2010; 105(1-2): 1-19.
[18] Yang Y., Zheng N., Liu Y., et al., Expression transfer for facial sketch animation; Signal Processing, 2011; 91(11): 2465-2477.
[19] Tian Y.I.,, Kanade T., Cohn J.F., Recognizing action units for facial expression analysis; Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2001; 23(2): 97-115.
[20] Freitag C., Schwarzer G., Influence of emotional facial expressions on 3–5-year-olds’face recognition; Cognitive Development, 2011; 26(3): 230-247.
[21] Lucey P., Cohn J.F., Kanade T., et al., The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression; in Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE Computer Society Conference on, 2010: 94-101.
[22] Mohammadian A., Aghaeinia H., Towhidkhah F., Geometric and texture based facial expression recognition,” in BioMedical Engineering, 19th Iranian Conference on, Tehran, 2012.
[23] Van der Maaten L., Postma E., Van Den Herik H., Dimensionality reduction: A comparative review,” Journal of Machine Learning Research, 2009; 10: 1-41.
[24] Friedman T.H.J., Tibshirani R., Additive logistic regression: A statistical view of boosting; The Annals of Statistics, 200; 38(2): 337–374.
[25] Chen G.Y., Bui T.D., Krzyżak A., Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms; Pattern Recognition, 2009; 42(9): 2013-2019.
[26] Gu W., Xiang C., Venkatesh Y.V., et al., Facial expression recognition using radial encoding of local Gabor features and classifier synthesis; Pattern Recognition, 2012; 45(1): 80-91.
[27] Shan C., Gong S., McOwan P.W., Facial expression recognition based on Local Binary Patterns: A comprehensive study; Image and Vision Computing, 2009; 27(6): 803-816.
[28] Jafarzadeh M., Mohammadian A., Using Dimension Reduction of Local Binary Patterns To improve Facial Expression Recognition; in Electrical Engineering, 20th Iranian Conference on, Tehran, 2012.