L. Calculs-sont-effectués-identiquementàidentiquementà-ceux-de-la, Somme d'exponentielle sans affectation " ` a ceci près que seules les observations affectéesaffectéesà l'´ etat considéré sont prises en compte, les sommes de fonctions exponentielles sont quant-` a-elles toujours pondérées par les ? kt (i)

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F. Bashir, HMM-based motion recognition system using segmented PCA, IEEE International Conference on Image Processing 2005, 2005.
DOI : 10.1109/ICIP.2005.1530635

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.487.6955

F. Bevilacqua, Continuous realtime gesture following and recognition. Kopp S and Wachsmuth I, Gesture in Embodied Communication and Human-Computer Interaction, pp.73-84, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01106955

R. Bowden and D. Windridge, A linguistic feature vector for the visual in terpretation of sign language, 2004.

S. Calinon and A. Billard, Stochastic gesture production and recognition model for a humanoid robot, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2004.
DOI : 10.1109/IROS.2004.1389828

C. Chang and C. Lin, Libsvm ? a library for support vector machines

W. Chen and S. Chang, Motion trajectory matching of video objects, IS&T SPIE, 2000.
DOI : 10.1117/12.373587

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.5638

M. Cuturi, A Kernel for Time Series Based on Global Alignments, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, 2007.
DOI : 10.1109/ICASSP.2007.366260

. Dai, Fuzzy smoothing of HMM parameters using the Parzen window, Electronics Letters, vol.29, issue.22, 1993.
DOI : 10.1049/el:19931272

J. Dai, Robust estimation of HMM parameters using fuzzy vector quantization and Parzen's window, Pattern Recognition, vol.28, issue.1, 1995.
DOI : 10.1016/0031-3203(94)00075-W

G. Fang, Large Vocabulary Sign Language Recognition Based on Fuzzy Decision Trees, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.34, issue.3, 2004.
DOI : 10.1109/TSMCA.2004.824852

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.9769

L. Han, Discriminative human action recognition in the learned hierarchical manifold space, Image and Vision Computing, vol.28, issue.5, 2010.
DOI : 10.1016/j.imavis.2009.08.003

. Horenko, Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models, Computational Life Sciences II Lecture Notes in Computer Science, 2006.
DOI : 10.1007/11875741_8

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.250.4502

A. Shah-muhammed, A. B. Hussain, . Harun, and . Rashid, User independent hand gesture recognition by accelerated DTW, 2012 International Conference on Informatics, Electronics & Vision (ICIEV), p.2012
DOI : 10.1109/ICIEV.2012.6317364

M. E. Hussein, Human action recognition using a temporal hierarchy of covariance descriptors on 3d joint locations, International Joint Conference on Artificial Intelligence, 2013.

K. Anil and . Jain, Statistical pattern recognition : a review, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000.

L. Shang and K. P. Chan, Nonparametric discriminant hmm and application to facial expression recognition, Electronics Letters, 2009.

H. Larochelle, Learning algorithms for the classification restricted boltzmann machine, Journal of Machine Learning Research, 2012.

S. Lazebnik, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.68

URL : https://hal.archives-ouvertes.fr/inria-00548585

W. Li, Expandable data-driven graphical modeling of human actions based on salient postures, IEEE Transactions On Circuits And Systems For Video Tech, 2008.

W. Li, Action recognition based on a bag of 3D points, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Workshops, 2010.
DOI : 10.1109/CVPRW.2010.5543273

S. Mallat, Zero-crossings of a wavelet transform, IEEE Transactions on Information Theory, vol.37, issue.4, 1991.
DOI : 10.1109/18.86995

P. Marteau and S. Gibet, Constructing positive definite elastic kernels with application to time series classification

P. Marteau, Down-sampling Coupled to Elastic Kernel Machines for Efficient Recognition of Isolated Gestures, 2014 22nd International Conference on Pattern Recognition, 2014.
DOI : 10.1109/ICPR.2014.71

URL : https://hal.archives-ouvertes.fr/hal-00995279

P. Marteau, SouséchantillonnageSouséchantillonnage et machinè a noyauxélastiquesnoyauxélastiques pour la classification de données de mouvement capturé, EGC, 2014.

O. Masoud and N. Papanikolopoulos, A method for human action recognition, Image and Vision Computing, vol.21, issue.8, 2003.
DOI : 10.1016/S0262-8856(03)00068-4

M. and T. Acharya, Gesture recognition : A survey, IEEE Transactions On Systems, Man, And Cybernetics, 2007.

F. Ofli, Sequence of the most informative joints (smij) : A new representation for human skeletal action recognition. Computer Vision and Pattern Recognition Workshops, p.2012

F. Ofli, Sequence of the most informative joints (smij) : A new representation for human skeletal action recognition, Journal of Visual Communication and Image Representation, 2013.

C. W. Sylvie, S. Ong, and . Ranganath, Automatic sign language analysis : A survey and the future beyond lexical meaning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005.

O. Oreifej and Z. Liu, HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.98

R. Poppe, A survey on vision-based human action recognition, Image and Vision Computing, vol.28, issue.6, 2010.
DOI : 10.1016/j.imavis.2009.11.014

A. Ramamoorthy, Recognition of dynamic hand gestures, Pattern Recognition, vol.36, issue.9, 2003.
DOI : 10.1016/S0031-3203(03)00042-6

F. Samaria and S. Young, HMM-based architecture for face identification, Image and Vision Computing, vol.12, issue.8, 1994.
DOI : 10.1016/0262-8856(94)90007-8

S. Sempena, Human action recognition using Dynamic Time Warping, Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, 2011.
DOI : 10.1109/ICEEI.2011.6021605

T. Starner and A. Pentland, Real-time american sign language recognition from video using hidden markov models, 1996.
DOI : 10.1109/iscv.1995.477012

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.6485

N. Vladimir and . Vapnik, Statistical Learning Theory, 1998.

A. Veeraraghavan, Role of shape and kinematics in human movement analysis, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004.
DOI : 10.1109/CVPR.2004.1315104

J. Wang, Mining actionlet ensemble for action recognition with depth cameras, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.1290-1297, 2012.
DOI : 10.1109/CVPR.2012.6247813

J. Yamato, Recognizing human action in time-sequential images using hidden Markov model, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992.
DOI : 10.1109/CVPR.1992.223161

X. Zhao, Real-Time Hand Gesture Detection and Recognition by Random Forest, Communication and Information Processing, vol.2, issue.1, pp.747-755, 2012.
DOI : 10.1007/978-3-540-76390-1_60