P. Saldarriaga, S. , E. Morin, and C. Viard-gaudin, Impact de la reconnaissance de l'écriture en-ligne sur une tâche de catégorisation , dans CORIA, Actes de la 6ème Conférence en Recherche d'Information et Applications, p.219234, 2009.

P. Saldarriaga, S. , E. Morin, and C. Viard-gaudin, Un nouveau schéma de pondération pour la catégorisation de documents manuscrits , dans TALN, 2009.

P. Saldarriaga, S. , E. Morin, and C. Viard-gaudin, Fusion de résultats en recherche d'information : application aux documents manuscrits en-ligne , dans CI- FED 2010, Actes du Colloque Francophone sur l'Écrit et le Document, p.318, 2010.

S. Agarwal, S. Godbole, D. Punjani, and S. Roy, How much noise is too much : a study in automatic text classication , dans ICDM, proceedings of the 7th IEEE International Conference on Data Mining, p.312, 2007.

A. V. Aho, M. J. Et, and . Corasick, Ecient string matching : an aid to bibliographic search, Communications of the ACM, vol.18, issue.6, p.333340, 1975.

O. Alonso, D. E. Rose, and B. Stewart, Crowdsourcing for relevance evaluation, ACM SIGIR Forum, vol.42, issue.2, p.915, 2008.
DOI : 10.1145/1480506.1480508

C. Apté, F. Damerau, and S. M. Weiss, Towards language independent automated learning of text categorization models , dans SIGIR, proceedings of the 17th Annual ACM SIGIR Conference on Research & Development in Information Retrieval, p.2330, 1994.

W. G. Aref, D. Barabará, and D. Lopresti, Multimedia Database Systems : Issues and Research Directions, chap. Ink as a rst-class datatype in multimedia databases, Articial Intelligence, p.113163, 1995.

W. G. Aref, D. Barabará, and P. Vallabhaneni, The handwritten trie : indexing electronic ink , dans SIGMOD 1995, proceedings of the, ACM SIGMOD International Conference on Management of Data, p.151162, 1995.

W. G. Aref, I. Kamel, and D. Lopresti, On handling electronic ink, ACM Computing Surveys, vol.27, issue.4, p.564567, 1995.
DOI : 10.1145/234782.234791

J. A. Aslam and M. Montague, Models for metasearch, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '01, p.276284, 2001.
DOI : 10.1145/383952.384007

S. M. Beitzel, E. C. Jensen, A. Chowdury, D. Grossman, O. Frieder et al., On fusion of eective retrieval strategies in the same information retrieval system, Journal of the American Society of Information Science & Technology, vol.50, issue.10, p.859868, 2004.

A. Belaïd and H. Cecotti, Les documents écrits de la numérisation à l'indexation par le contenu, chap. Reconnaissance de caractères : évaluation des performances, p.311361, 2006.

M. Belkin, I. Matveeva, and P. Niyogi, Regularization and semi-supervised learning on large graphs , dans COLT, proceedings of the 17th Annual Conference on Learning Theory, p.624638, 2004.

M. Belkin, P. Et, and . Niyogi, Laplacian eigenmaps and spectral techniques for embedding and clustering , dans, Advances in Neural Information Processing Systems, vol.14, pp.585-591, 2002.

N. J. Belkin, C. Cool, W. B. Croft, and J. P. Callan, The eect of multiple query representations on information retrieval system performance, SIGIR 1993, proceedings of the 16th Annual ACM SIGIR Conference on Research & Development in Information Retrieval, p.339346, 1993.

J. Beney, Classication supervisée de documents, 2008.

R. S. Boyer, J. S. Et, and . Moore, A fast string searching algorithm, Communications of the ACM, vol.20, issue.10, p.762772, 1977.
DOI : 10.1145/359842.359859

S. Brin, L. Et, and . Page, The anatomy of a large-scale hypertextual Web search engine, proceedings of the 7th International Conference on World Wide Web, p.107117, 1998.
DOI : 10.1016/S0169-7552(98)00110-X

C. Buckley, E. M. Et, and . Voorhees, Evaluating evaluation measure stability, Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '00, p.3340, 2000.
DOI : 10.1145/345508.345543
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.7829

C. J. Burges, A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery, vol.2, issue.2, p.121167, 1998.

H. Cao and V. Govindaraju, Vector model based indexing and retrieval of handwritten medical forms , dans ICDAR, proceedings of 9th International Conference on Document Analysis & Recognition, p.8892, 2007.

S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman, Indexing by latent semantic analysis, Journal of the American Society for Information Science, vol.41, issue.6, p.391407, 1990.
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9

F. Díaz, Regularizing query-based retrieval scores, Information Retrieval, vol.48, issue.3, p.531562, 2007.
DOI : 10.1007/s10791-007-9034-8

F. Díaz, Autocorrelation and Regularization of Query-based Information Retrieval Scores, 2008.

S. T. Dumais, G. W. Furnas, T. K. Landauer, S. Deerwester, and R. Harshman, Using latent semantic analysis to improve access to textual information , dans CHI, proceedings of the 5th Conference on Human Factors in Computing Systems, p.281285, 1988.

C. Dwork, R. Kumar, M. Naor, and D. Sivakumar, Rank aggregation methods for the Web, Proceedings of the tenth international conference on World Wide Web , WWW '01, p.613622, 2001.
DOI : 10.1145/371920.372165

M. Van-erp, L. Et, and . Schomaker, Variants of the Borda count method for combining ranked classier hypotheses , dans IWFHR, proceedings of the 7th International Workshop on Frontiers in Handwriting Recognition, p.443452, 2000.

M. Farah, D. Et, and . Vanderpooten, An outranking approach for rank aggregation in information retrieval, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '07, p.591598, 2007.
DOI : 10.1145/1277741.1277843

G. Forman, An extensive empirical study of feature selection metrics for text classication, Journal of Machine Learning Research, vol.3, p.12891305, 2003.

G. Forman, A pitfall and solution in multi-class feature selection for text classication, proceedings of the 21st International Conference on Machine Learning, p.3846, 2004.

L. Galavotti, F. Sebastiani, and M. Simi, Experiments on the use of feature selection and negative evidence in automated text categorization , dans ECDL, proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries, p.5968, 2000.

E. Gareld, A tribute to Calvin N. Mooers, a pioneer of information retrieval, The Scientist, vol.11, issue.6, p.9, 1997.

I. Guyon, L. Schomaker, R. Plamondon, M. Liberman, and S. Janet, UNIPEN project of on-line data exchange and recognizer benchmarks , dans ICPR, proceedings of the 12th International Conference on Pattern Recognition, p.2933, 1994.

T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning Data Mining, Inference, and Prediction, 2 e éd, 2008.

P. J. Hayes, S. P. Et, and . Weinstein, Construe-TIS : a system for content-based indexing of a database of news stories , dans IAAI 1990, proceedings of the 2nd Annual Conference on Innovative Applications of Articial Intelligence, p.4964, 1990.

W. Hersh, C. Buckley, T. J. Leone, and D. Hickam, OHSUMED: An Interactive Retrieval Evaluation and New Large Test Collection for Research, proceedings of the 17th Annual ACM SIGIR Conference on Research & Development in Information Retrieval, p.192201, 1994.
DOI : 10.1007/978-1-4471-2099-5_20

D. S. Hirschberg, A linear space algorithm for computing maximal common subsequences, Communications of the ACM, vol.18, issue.6, p.341343, 1977.
DOI : 10.1145/360825.360861

E. Ide, The SMART Retrieval System Experiments in Automatic Document Processing, chap. New Experiments in Relevance Feedback, p.337354, 1971.

D. J. Ittner, D. D. Lewis, and D. D. Ahn, Text categorization of low quality images , dans SDAIR 1995, proceedings of the 4th Annual Symposium on Document Analysis & Information Retrieval, p.301315, 1995.

S. Jaeger, S. Manke, J. Reichert, and A. Waibel, On-line handwriting recognition : the NPen++ recognizer, International Journal on Document Analysis & Recognition, vol.3, issue.3, p.169180, 2001.

A. K. Jain, A. M. Et, and . Namboodiri, Indexing and retrieval of on-line handwritten documents , dans ICDAR, proceedings of the 7th International Conference on Document Analysis & Recognition, p.655659, 2003.

N. Jardine, C. J. Et, and . Van-rijsbergen, The use of hierarchic clustering in information retrieval, Information Storage and Retrieval, vol.7, issue.5, p.217240, 1971.
DOI : 10.1016/0020-0271(71)90051-9

C. V. Jawahar, A. Balasubramanian, M. Meshesha, and A. M. Namboodiri, Retrieval of online handwriting by synthesis and matching, Pattern Recognition, vol.42, issue.7, p.14451457, 2009.
DOI : 10.1016/j.patcog.2008.08.017

T. Joachims, Learning to Classify Text Using Support Vector Machines : Methods, Theory and Algorithms, 2002.
DOI : 10.1007/978-1-4615-0907-3

M. Junker, R. Et, and . Hoch, An experimental evaluation of OCR text representations for learning document classiers, International Journal on Document Analysis & Recognition, vol.1, issue.2, p.116122, 1998.

P. B. Kantor, E. M. Et, and . Voorhees, The TREC-5 confusion track : comparing retrieval methods for scanned text, Information Retrieval, vol.2, pp.2-3, 2000.

J. M. Kleinberg, Authoritative sources in a hyperlinked environment, Journal of the ACM, vol.46, issue.5, p.604632, 1999.
DOI : 10.1145/324133.324140

G. Koch, Catégorisation Automatique de Documents Manuscrits : Application aux Courriers Entrants, 2006.

R. I. Kondor, J. Et, and . Laerty, Diusion kernels on graphs and other discrete structures, dans ICML`02ICML`02, proceedings of the 19th International Conference on Machine Learning, p.315322, 2002.

S. Kullback, R. A. Et, and . Leibler, On information and suciency, Annals of Mathematical Statistics, vol.22, issue.1, p.7986, 1951.

T. Kwok, M. P. Perrone, and G. Russell, Ink retrieval from handwritten documents , dans IDEAL, proceedings of the 2nd International Conference on Intelligent Data Engineering and Automated Learning, p.461466, 1983.

J. Laerty, C. Et, and . Zhai, Document language models, query models, and risk minimization for information retrieval, SIGIR 2001, proceedings of the 24th Annual ACM SIGIR Conference on Research & Development in Information Retrieval, p.111119, 2001.

K. Lang, NewsWeeder : learning to lter netnews, proceedings of the 12th International Conference on Machine Learning, p.331339, 1995.

J. H. Lee, Analysis of multiple evidence combination, proceedings of the 20th Annual ACM SIGIR Conference on Research & Development in Information Retrieval, p.267276, 1997.

V. I. Levenshtein, Binary codes capable of correcting deletions, insertions, and reversals , Soviet Physics Doklady Traduit du russe. 1965, titre original : Dvoichnyye kody s ispravleniyem vypadeniy, vstavok i zameshcheniy simvolov, Doklady Akademii Nauk SSSR, vol.10, issue.163 4, pp.707710-845, 1965.

D. D. Lewis, M. Et, and . Ringuette, A comparison of two learning algorithms for text categorization , dans SDAIR, proceedings of the 3rd Annual Symposium on Document Analysis & Information Retrieval, p.8193, 1994.

D. D. Lewis, Y. Yang, T. G. Rose, and F. Li, RCV1 : a new benchmark collection for text categorization research, Journal of Machine Learning Research, vol.5, p.361397, 2004.

M. Liwicki and H. Bunke, IAM-OnDB - an on-line English sentence database acquired from handwritten text on a whiteboard, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), p.956961, 2005.
DOI : 10.1109/ICDAR.2005.132

D. Lopresti, A. Et, and . Tomkins, On the searchability of electronic ink , dans IWFHR 1994, proceedings of the 4th International Workshop on Frontiers of Handwriting Recognition, p.156165, 1994.

D. Lopresti, J. Et, and . Zhou, Retrieval strategies for noisy text , dans SDAIR, proceedings of the 5th Annual Symposium on Document Analysis & Information Retrieval, p.255259, 1996.

D. Lopresti, Robust retrieval of noisy text , dans ADL 1996, proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries, p.7685, 1996.

G. Lorette, T. Et, and . Paquet, Les documents écrits de la numérisation à l'indexation par le contenu, chap. Reconnaissance de l'écriture manuscrite, p.3786, 2006.

H. P. Luhn, Auto-encoding of documents for information retrieval systems , dans Modern Trends in Documentation, p.4558, 1958.

U. Von-luxburg, A tutorial on spectral clustering, Statistics and Computing, vol.21, issue.1, p.395416, 2007.
DOI : 10.1007/s11222-007-9033-z

L. Van-der-maaten, G. Et, and . Hinton, Visualizing data using t-SNE, Journal of Machine Learning Research, vol.9, p.25792605, 2008.

S. Madhvanath and V. Govindaraju, The role of holistic paradigms in handwritten word recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.2, p.149164, 2001.
DOI : 10.1109/34.908966

R. Manmatha, H. Chengfeng, and E. M. Riseman, Word spotting: a new approach to indexing handwriting, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p.631637, 1996.
DOI : 10.1109/CVPR.1996.517139

R. Manmatha, T. M. Rath, and F. Feng, Modeling score distributions for combining the outputs of search engines, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '01, p.267275, 2001.
DOI : 10.1145/383952.384005

M. E. Maron, Automatic Indexing: An Experimental Inquiry, Journal of the ACM, vol.8, issue.3, p.404417, 1961.
DOI : 10.1145/321075.321084

R. J. Milewski, V. Govindaraju, and A. Bhardwaj, Automatic recognition of handwritten medical forms for search engines, International Journal of Document Analysis and Recognition (IJDAR), vol.25, issue.3, p.203218, 2009.
DOI : 10.1007/s10032-008-0077-1

E. Mittendorf and . Zürich, Data Corruption and Information Retrieval, 1998.

E. Mittendorf, P. Et, and . Schäuble, Measuring the eects of data corruption on information retrieval , dans SDAIR, proceedings of the 5th Annual Symposium on Document Analysis & Information Retrieval, p.179189, 1996.

E. Mittendorf, P. Et, and . Schäuble, Information retrieval can cope with many errors, Information Retrieval, vol.3, issue.3, p.189216, 2000.

B. Mohar, The laplacian spectrum of graphs, dans proceedings of the 6th International Conference on the Theory and Applications of Graphs, p.871898, 1988.

M. Montague, J. A. Et, and . Aslam, Relevance score normalization for metasearch , dans CIKM, proceedings of the 10th International Conference on Information & Knowledge Management, p.427433, 2001.

M. Montague, J. A. Et, and . Aslam, Condorcet fusion for improved retrieval , dans CIKM, proceedings of the 11th International Conference on Information & Knowledge Management, p.538548, 2002.

M. Murata, L. S. Busagala, W. Ohyama, T. Wakabayashi, and F. Kimura, The impact of OCR accuracy and feature transformation on automatic text classication, proceedings of the 7th IAPR International Workshop on Document Analysis Systems, p.506517, 2006.

K. Myers, M. Kearns, S. Singh, and M. A. Walker, A boosting approach to topic spotting on subdialogues, proceedings of the 17th International Conference on Machine Learning, p.655662, 2000.

A. M. Namboodiri, On-line handwritten document understanding, 2004.

F. Namer, FLEMM : un analyseur exionnel du français à base de règles, Traitement Automatique des Langues, vol.41, issue.2, p.523547, 2000.

A. Y. Ng, M. I. Jordan, and Y. Weiss, On spectral clustering : analysis and an algorithm, dans Advances in Neural Information Processing Systems, p.849856, 2002.

A. Y. Ng, A. X. Zheng, and M. I. Jordan, Stable algorithms for link analysis, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '01, p.258266, 2001.
DOI : 10.1145/383952.384003

F. Perraud, Modélisation du Langage Naturel Appliquée à la Reconnaissance de l'Écriture Manuscrite En-Ligne, 2005.

F. Perraud, C. Viard-gaudin, E. Morin, and P. Lallican, N-gram and n-class models for on line handwriting recognition , dans ICDAR, proceedings of the 7th International Conference on Document Analysis & Recognition, p.10531059, 2003.

F. Perronnin, J. A. Et, and . Rodriguez-serrano, Fisher kernels for handwritten wordspotting , dans ICDAR, proceedings of 10th International Conference on Document Analysis & Recognition, p.106110, 2009.

U. Pfeifer, N. Fuhr, and T. Huynh, Searching structured documents with the enhanced retrieval functionality of freeWAIS-sf and SFgate , dans WWW, proceedings of the 3rd International World Wide Web Conference, p.10271036, 1995.

J. A. Pittman, Handwriting Recognition: Tablet PC Text Input, Computer, vol.40, issue.9, p.4954, 2007.
DOI : 10.1109/MC.2007.314

J. M. Ponte, W. B. Et, and . Croft, A language modeling approach to information retrieval, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '98, p.275281, 1998.
DOI : 10.1145/290941.291008

M. F. Porter, An algorithm for sux stripping , Program, p.130137, 1980.

E. Prochasson, C. Viard-gaudin, and E. Morin, Language models for handwritten short message services , dans ICDAR, proceedings of the 9th International Conference on Document Analysis & Recognition, p.8387, 2007.

S. Quiniou, E. Et, and . Anquetil, A priori and a posteriori integration and combination of language models in an on-line handwritten sentence recognition system , dans IWFHR, proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition, p.403408, 2006.

S. Quiniou, E. Anquetil, and S. Carbonnel, Statistical language models for online handwritten sentence recognition, dans ICDAR 2005, proceedings of the 8th International Conference on Document Analysis & Recognition, p.516520, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00580641

T. M. Bibliographie-rath, R. Et, and . Manmatha, Word image matching using dynamic time warping, CVPR 2003, proceedings of the IEEE Conference on Computer Vision & Pattern Recognition, p.521527, 2003.

T. M. Rath, R. Manmatha, and V. Lavrenko, A search engine for historical manuscript images , dans SIGIR, proceedings of the 27th Annual ACM SIGIR Conference on Research & Development in Information Retrieval, p.369376, 2004.

E. H. Ratzla, Inter-line distance estimation and text line extraction for unconstrained on-line handwriting , dans IFWHR, proceedings of the 7th International Workshop on Frontiers in Handwriting Recognition, p.3342, 2000.

M. E. Renda, U. Et, and . Straccia, Web metasearch, Proceedings of the 2003 ACM symposium on Applied computing , SAC '03, p.841846, 2003.
DOI : 10.1145/952532.952698

S. E. Robertson, K. Et, . Spärck, and . Jones, Relevance weighting of search terms, Journal of the American Society for Information Science, vol.30, issue.3, p.129146, 1976.
DOI : 10.1002/asi.4630270302

J. J. Rocchio, The SMART Retrieval System Experiments in Automatic Document Processing, chap. Relevance feedback in information retrieval, p.313323, 1971.

J. Rossi, Psychologie de la mémoire. De la mémoire épisodique à la mémoire sémantique., 1 re éd, 2005.

G. Russell, M. P. Perrone, and Y. M. Chee, Handwritten document retrieval , dans IWFHR, proceedings of the 8th International Workshop on Frontiers in Handwriting Recognition, p.233238, 2002.

H. Sakoe, S. Et, and . Chiba, Dynamic programming algorithm optimization for spoken word recognition, IEEE Transactions on Acoustics, Speech & Signal Processing, vol.26, issue.1, p.4349, 1978.

G. Salton, Automatic Information Organization and Retrieval, 1968.

G. Salton, C. Et, and . Buckley, Improving retrieval performance by relevance feedback, Journal of the American Society for Information Science, vol.41, issue.4, p.288297, 1990.
DOI : 10.1002/(SICI)1097-4571(199006)41:4<288::AID-ASI8>3.0.CO;2-H
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.3553

G. Salton, M. E. Et, and . Lesk, The SMART automatic document retrieval systems---an illustration, Communications of the ACM, vol.8, issue.6, p.391398, 1965.
DOI : 10.1145/364955.364990

G. Salton, A. Wong, and C. S. Yang, A vector space model for automatic indexing, Communications of the ACM, vol.18, issue.11, p.613620, 1975.
DOI : 10.1145/361219.361220

M. Sanderson, Word sense disambiguation and information retrieval , dans SIGIR, proceedings of the 17th Annual ACM SIGIR Conference on Research & Development in Information Retrieval, p.142151, 1994.
DOI : 10.1007/978-1-4471-2099-5_15
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.3150

J. Savoy, A stemming procedure and stopword list for general french corpora, Journal of the American Society for Information Science, vol.50, issue.10, p.944952, 1999.

J. Savoy, A. L. Calvé, and D. Vrajitoru, Report on the TREC-5 experiment : data fusion and collection fusion , dans TREC-5, proceedings of the 5nd Text REtrieval Conference, p.489502, 1997.

K. M. Sayre, Machine recognition of handwritten words: A project report, Pattern Recognition, vol.5, issue.3, p.213228, 1973.
DOI : 10.1016/0031-3203(73)90044-7

P. Schäuble, U. Et, and . Glavitsch, Assessing the retrieval eectiveness of a speech retrieval system by simulating recognition errors , dans HLT 1994, proceedings of the Workshop on Human Language Technology, p.370372, 1994.

S. Schimke, C. Et, and . Vielhauer, Document Retrieval in Pen-Based Media Data, 2006 Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'06), p.186190, 2006.
DOI : 10.1109/AXMEDIS.2006.25

H. Schmid, Probabilistic part-of-speech tagging using decision trees , dans NEMLP, proceedings of the 1st International Conference on New Methods in Language Processing, p.4449, 1994.

B. Schölkopf, A. J. Et, and . Smola, Learning with Kernels Support Vector Machines, Regularization, Optimization, and Beyond, 2002.

F. Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys, vol.34, issue.1, p.147, 2002.
DOI : 10.1145/505282.505283

J. A. Shaw and E. A. Fox, Combination of multiple searches , dans TREC-2, proceedings of the 2nd Text REtrieval Conference, p.243252, 1994.

J. Shi, J. Et, and . Malik, Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.22, issue.8, p.888905, 2000.

M. Shridhar, G. F. Houle, and K. Fumitaka, Handwritten word recognition using lexicon free and lexicon directed word recognition algorithms , dans ICDAR 1997, proceedings of the 4th International Conference Document Analysis & Recognition, p.861865, 1997.
DOI : 10.1109/icdar.1997.620634

S. Jones and K. , Experiments in relevance weighting of search terms, Information Processing & Management, vol.15, issue.3, p.133144, 1979.
DOI : 10.1016/0306-4573(79)90060-8

S. Jones, K. , S. Walker, and S. E. Robertson, A probabilistic model of information retrieval : development and comparative experiments, Information Processing & Management, vol.36, issue.1 6, p.779808, 2000.

S. Jones, K. , S. Walker, and S. E. Robertson, A probabilistic model of information retrieval : development and comparative experiments, Information Processing & Management, vol.36, issue.2 6, p.809840, 2000.

S. N. Srihari, C. Huang, and H. Srinivasan, A search engine for handwritten documents, dans DRR2005, Document Recognition & Retrieval XII, proceedings of the SPIE-IS&T Electronic Imaging, p.6675, 2005.

J. Stoer, R. Et, and . Bulirsch, Introduction to Numerical Analysis, 3 e éd, 2002.

J. Subrahmonia, K. Nathan, and M. P. Perrone, Writer dependent recognition of on-line unconstrained handwriting , dans ICASSP 1996, IEEE International Conference on Acoustics, Speech & Signal Processing, p.34783481, 1996.

I. E. Sutherland, Sketchpad a man-machine graphical communication system, Papers on Twenty-five years of electronic design automation , 25 years of DAC, 1963.
DOI : 10.1145/62882.62943

K. Taghva, J. Borsack, A. Condit, and S. Erva, The eects of noisy data on text retrieval, Journal of the American Society for Information Science, vol.45, issue.1, p.5058, 1994.

K. Taghva, T. A. Nartker, J. Borsack, S. Lumos, A. Condit et al., Evaluating text categorization in the presence of OCR errors , dans DRR, proceedings of Document Recognition & Retrieval VIII, vol.4307, p.6874, 2000.

G. X. Tan, C. Viard-gaudin, and A. C. Kot, Impact of alphabet knowledge on online writer identication , dans ICDAR, proceedings of the 10th International Conference on Document Analysis & Recognition, p.5660, 2009.

G. X. Tan, C. Viard-gaudin, and A. C. Kot, Online writer identication using alphabetic information clustering , dans DRR2009, Document Recognition & Retrieval XVI, proceedings of the SPIE-IS&T Electronic Imaging, p.72470, 2009.

K. Terasawa, Y. Et, and . Tanaka, Slit style HOG feature for document image word spotting , dans ICDAR, proceedings of 10th International Conference on Document Analysis & Recognition, p.116120, 2009.

P. Tormene, T. Giorgino, S. Quaglini, and M. Stefanelli, Matching incomplete time series with dynamic time warping: an algorithm and an application to post-stroke rehabilitation, Artificial Intelligence in Medicine, vol.45, issue.1, p.1134, 2008.
DOI : 10.1016/j.artmed.2008.11.007

V. N. Vapnik, The Nature of Statistical Learning Theory, 2 e éd, 2000.

C. Viard-gaudin, P. Lallican, S. Knerr, and P. Binter, The IRESTE on/o (IRONOFF) dual handwriting database , dans ICDAR, proceedings of the 5th International Conference on Document Analysis & Recognition, p.455458, 1999.

A. Vinciarelli, Eect of recognition errors on information retrieval performance , dans IWFHR, proceedings of 9th International Workshop on Frontiers in Handwriting Recognition, p.275279, 2004.

A. Vinciarelli, Application of information retrieval techniques to single writer documents, Pattern Recognition Letters, vol.26, issue.14, pp.14-22622271, 2005.
DOI : 10.1016/j.patrec.2005.03.036

A. Vinciarelli, Noisy text categorization, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.27, pp.12-18821895, 2005.
DOI : 10.1109/icpr.2004.1334303
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.5391

A. Vinciarelli, Indexation de documents manuscrits , dans CIFED Actes du Colloque International Francophone sur l'Ecrit et le Document, p.4954, 2006.

C. C. Vogt, G. W. Et, and . Cottrell, Fusion via a linear combination of scores, Information Retrieval, vol.1, issue.3, p.151173, 1999.

E. M. Voorhees, D. K. Et, and . Harman, TREC, Communications of the ACM, vol.50, issue.11, 2005.
DOI : 10.1145/1297797.1297822

A. Waibel, H. Toshiyuki, G. Hinton, S. Kiyohiro, and K. J. Lang, Phoneme recognition using time-delay neural networks, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.3, p.328339, 1989.
DOI : 10.1109/29.21701

S. Wu, Y. Bi, X. Zeng, and L. Han, Assigning appropriate weights for the linear combination data fusion method in information retrieval, Information Processing & Management, vol.45, issue.4, p.413426, 2009.
DOI : 10.1016/j.ipm.2009.02.003

S. Wu, S. Et, and . Mcclean, Data fusion with correlation weights , dans ECIR, proceedings of the 27th Annual European Conference on Information Retrieval, p.275286, 2005.

H. Xue and V. Govindaraju, On the dependence of handwritten word recognizers on lexicons, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.24, pp.12-15531564, 2002.

Y. Yang, A study of thresholding strategies for text categorization, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '01, p.137145, 2001.
DOI : 10.1145/383952.383975

Y. Yang, X. Et, and . Liu, A re-examination of text categorization methods, Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '99, p.4249, 1999.
DOI : 10.1145/312624.312647

Y. Yang, J. O. Et, and . Pedersen, A comparative study on feature selection in text categorization, proceedings of the 14th International Conference on Machine Learning, p.412420, 1997.