|Commenced in January 2007||Frequency: Monthly||Edition: International||Publications Count: 29404|
 M. Elmezain, A. Al-Hamadi and B. Michaelis, Real-Time Capable System for Hand Gesture Recognition Using Hidden Markov Models in Stereo Color Image Sequences, Journal of WSCG, Vol. 16, No. 1, pp. 65-72, 2008.
 M. Yang, N. Ahuja and M. Tabb, Extraction of 2D Motion Trajectories and its Application to Hand Gesture Recognition, EEE Trans. on PAMI, Vol. 24, No. 8, pp. 1061-1074, 2002.
 Yang, S. Sclaroff and S. Lee, Sign Language Spotting with a Threshold Model Based on Conditional Random Fields, IEEE Trans. on PAMI, Vol. 31(7), pp. 1264-1277, 2009.
 C. Sminchisescu, A. Kananujia and D. Metaxas, Conditional Models for Contextual Human Motion Recognition, Journal of CVIU, Vol.104, No. 2, pp. 210-220, 2006.
 J. Lafferty, A. McCallum and F. Pereira, Conditional Random Fields: Probabilistic Models for Segmenting and Labeling sequence Data, Conf. on ICML, pp. 282-289, 2001.
 L. P. Morency, A. Quattoni and T. Darrell, Latent-Dynamic Discriminative Models for Continuous Gesture Recognition, IIEEE Conf. on CVPR, pp. 1-8, 2007.
 X. Deyou, A Network Approach for Hand Gesture Recognition in Virtual Reality Driving Training System of SPG, Conf. on ICPR, pp.519-522, 2006.
 M. Elmezain, A. Al-Hamadi, and B. Michaelis, Spatio- Temporal Feature Extraction-Based Hand Gesture Recognition for Isolated American Sign Language and Arabic Numbers, IEEE Symposium on ISPA, pp. 254-259, 2009.
 R. R. Lawrence, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proceeding of the IEEE, Vol.77(2), pp. 257-286, 1989.
 K. Takahashi, S. Sexi and R. Oka, Spotting Recognition of Human Gestures From Motion Images, In Technical Report IE92-134, pp.9-16, 1992.
 A. Gunawardana, M. Mahajan, A. Acero and J. C .Platt, Hidden Conditional Random Fields for Phone Classification, Proceeding of European Conf. on Speech Communication and technology, pp. 1117-1120, 2005.
 A. Quattoni, S. Wang, L. P. Morency, M. Collins and T. Darrell, Hidden Conditional Random Fields,EEE Trans. on PAMI, Vol. 29, No.10, pp. 1848-1852, 2007.
 L. Rabiner, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proceedings of the IEEE, Vol. 77, No. 2, pp. 257-286, 1989.
 X. D. Huang, Y. Ariki, and M. Jack, Hidden Markov Models for Speech Recognition, Edinburgh University Press, 1990.
 S. Goronzy, HRobust Adaptation to Non-Native Accents in Automatic Speech Recognition, Lecture Notes in Computer Sciences, Springer, ISBN-13: 978- 540003250, 2002.
 M. Elmezain, A. Al-Hamadi, and B. Michaelis, Discriminative Models-Based Hand Gesture Recognition, International Conference on Machine Vision, pp. 123-127, 2009.
 A. McCallum, D. Freitag, and F. Pereira, Maximum Entropy Markov Models for Information Extraction and Segmentation,International Conference on Machine Learning, pp. 591-598, 2000.
 J. Lafferty, A. McCallum, and F. Pereira, Conditional Random Fields: Probabilistic Models for Segmenting and Labeling sequence Data, International Conference on ICML, pp. 282-289, 2001.
 A. McCallum, Efficiently Inducing Features of Conditional Random Fields, Conf. on Uncertainty in AI, 2003.
 L. P. Morency, A. Quattoni, C. M. Christoudias, and S. Wang, Hidden-state Conditional Random Field Library, EVersion 1.3c, http://pt.sourceforge.jp/projects/sfnet hcrf/,” 2008.