Disaggregation-aggregation procedure for characterizing spatial structures of fluvial networks: applications to the RhôneRh?Rhône basin (France), Geomorphology, 2010. ,
Pratique de l'analyse de l'autocorrélation spatiale en géomorphologie fluviale : définitions opératoires et tests, Géographie Physique et Quaternaire, vol.55, issue.2, pp.115-133, 2001. ,
STOCHASTIC MODELING FOR AUTOMATIC SPEECH UNDERSTANDING, Speech Recognition, pp.521-542, 1974. ,
DOI : 10.1016/B978-0-08-051584-7.50028-0
Estimation des paramètres dans les cha??nescha??nes de Markov cachées et segmentation d'images, Traitement du signal, vol.12, issue.5, pp.433-454, 1995. ,
A systematic representation of crop rotations, Agricultural Systems, vol.97, issue.1-2, pp.26-33, 2008. ,
DOI : 10.1016/j.agsy.2007.10.006
Bayesian Network without Tears, AI magazine, 1991. ,
Stochastic models for heterogeneous DNA sequences, Bulletin of Mathematical Biology, vol.45, issue.1, pp.79-94, 1989. ,
DOI : 10.1007/BF02458837
Alignment of whole genomes, Nucleic Acids Research, vol.27, issue.11, pp.2369-2376, 1999. ,
DOI : 10.1093/nar/27.11.2369
Maximum-Likelihood From Incomplete Data Via The EM Algorithm, Journal of Royal Statistic Society, B (methodological), vol.39, pp.1-38, 1977. ,
A New Data Mining Approach for the Detection of Bacterial Promoters Combining Stochastic and Combinatorial Methods, Journal of Computational Biology, vol.16, issue.9, pp.1211-1225, 2009. ,
DOI : 10.1089/cmb.2008.0122
URL : https://hal.archives-ouvertes.fr/inria-00419969
In silico prediction of horizontal gene transfer in Streptococcus thermophilus, Archives of Microbiology, 2011. ,
The Hierarchical Hidden Markov Model: Analysis and Applications, Machine Learning, vol.32, issue.1, pp.41-62, 1998. ,
DOI : 10.1023/A:1007469218079
New trends in Markov models and related learning to restore data, 2009 IEEE International Workshop on Machine Learning for Signal Processing, 2009. ,
DOI : 10.1109/MLSP.2009.5306255
URL : https://hal.archives-ouvertes.fr/hal-00781201
The viterbi algorithm, Proceedings of the IEEE, vol.61, issue.3, pp.268-278, 1973. ,
DOI : 10.1109/PROC.1973.9030
Speaker-independent isolated word recognition using dynamic features of speech spectrum, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.1, 1986. ,
DOI : 10.1109/TASSP.1986.1164788
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, issue.6, 1984. ,
DOI : 10.1109/TPAMI.1984.4767596
Pattern and origin of stepped-bed morphology in high-gradient streams, Western Cascades, Oregon, Geological Society of America Bulletin, vol.102, issue.3, pp.340-352, 1990. ,
DOI : 10.1130/0016-7606(1990)102<0340:PAOOSB>2.3.CO;2
R'mes: Finding exceptional motifs. user guide, 2006. ,
Determination of Local Statistical Significance of Patterns in Markov Sequences with Application to Promoter Element Identification, Journal of Computational Biology, vol.11, issue.1, 2004. ,
DOI : 10.1089/106652704773416858
Data clustering: a review, ACM Computing Surveys, vol.31, issue.3, pp.264-322, 1999. ,
DOI : 10.1145/331499.331504
On the Statistical Analysis of Dirty Picture, Journal of the Royal Statistical Society B, issue.48, pp.259-302, 1986. ,
A hidden Markov model segmentation procedure for hydrological and environmental time series, Stochastic Environmental Research and Risk Assessment (SERRA), vol.18, issue.2, pp.117-130, 2004. ,
DOI : 10.1007/s00477-003-0145-5
Landscape regularity modelling for environmental challenges in agriculture, Landscape Ecology, vol.53, issue.2, pp.169-183, 2010. ,
DOI : 10.1007/s10980-009-9399-8
URL : https://hal.archives-ouvertes.fr/inria-00419952
Studying crop sequences with CarrotAge, a HMM-based data mining software, Ecological Modelling, vol.191, issue.1, pp.170-185, 2006. ,
DOI : 10.1016/j.ecolmodel.2005.08.031
URL : https://hal.archives-ouvertes.fr/hal-00017169
Advances in Intelligent Data Analysis, chapter Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering ? A Preliminary study, pp.53-62, 2001. ,
Automatic word recognition based on second-order hidden Markov models, IEEE Transactions on Speech and Audio Processing, vol.5, issue.1, pp.22-25, 1997. ,
DOI : 10.1109/89.554265
Temporal and spatial data mining with second-order hidden markov models, Fourth International Conference on Knowledge Discovery and Discrete Mathematics -Journées de l'informatique Messine -JIM'2003, pp.247-254, 2003. ,
DOI : 10.1007/s00500-005-0501-0
URL : https://hal.archives-ouvertes.fr/inria-00099573
Temporal and spatial data mining with second-order hidden markov models, Soft Computing, vol.10, issue.5, pp.406-414, 2006. ,
DOI : 10.1007/s00500-005-0501-0
URL : https://hal.archives-ouvertes.fr/inria-00099573
Probabilistic and Statistical Methods in Computer Science, 2001. ,
DOI : 10.1007/978-1-4757-6280-8
URL : https://hal.archives-ouvertes.fr/inria-00100932
Spatial dynamics of farming practices in the Seine basin: Methods for agronomic approaches on a regional scale, Science of The Total Environment, vol.375, issue.1-3, pp.13-32, 2007. ,
DOI : 10.1016/j.scitotenv.2006.12.004
Spatial dynamics of agricultural practices on a basin territory: a retrospective study to implement models simulating nitrate flow. The case of the Seine basin, Agronomie, vol.24, issue.4, pp.219-236, 2004. ,
DOI : 10.1051/agro:2004015
URL : https://hal.archives-ouvertes.fr/hal-00886024
Mining Bacillus subtilis chromosome heterogeneities using hidden Markov models, Nucleic Acids Research, vol.30, issue.6, pp.1418-1426, 2002. ,
DOI : 10.1093/nar/30.6.1418
Probabilistic Reasoning in Intelligent Systems: Network of Plausible Inference, 1988. ,
Markov models in image processing, Traitement du signal, vol.20, issue.3, pp.255-278, 2003. ,
URL : https://hal.archives-ouvertes.fr/hal-01346587
Fundamentals of Speech Recognition, 1995. ,
Modelling regional land use: articulating the farm and the landscape levels by combining farmers' decision rules and landscape stochastic regularities, Poster session, 2010. ,
The fluvial system, p.338, 1977. ,
Pattern Recognition Principles, 1974. ,
Graphical Models in Applied Multivariate Statistics, 1990. ,