P. Performance-de-l-'approche-proposée-sur-le-jeu-de-données-de and E. Hays, ainsi que les comparaisons avec les approches connexes, p.102, 2012.

F. Résultats-de, M. Khan, and T. , que nous avons calculés à partir de la matrice de confusion reportée dans leur article, p.104, 2014.

A. , P. M. Et-ramazan, and G. , « Semiparametric estimation of a hedonic price function, Journal of Applied Econometrics, vol.116, pp.633-648, 1996.

A. , E. , H. Dindo, and G. Mazzola, Content-Based Image Retrieval as Validation for Defect Detection in Old Photos, 2009.

A. , B. Davidera, E. , L. , and S. Url, Weka Ordinal, real-world datasets

«. Dbpedia, A Nucleus for a Web of Open Data, 6th International Semantic Web Conference, pp.11-15

S. Baccianella, TripAdvisor Users review (15 763) dataset

S. Baccianella, E. Andrea, and S. Fabrizio, Evaluation Measures for Ordinal Regression, 2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009.
DOI : 10.1109/ISDA.2009.230

S. Baccianella, E. Andrea, and S. Fabrizio, Multi-facet Rating of Product Reviews, Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval. ECIR '09, p.461, 2009.
DOI : 10.1007/978-3-540-68125-0_106

B. , K. Et, and M. Lichman, UCI Machine Learning Repository, 2013.

B. , R. Berthier, and R. , Modern information retrieval . T. 463, 1999.

R. Benavente, M. Vanrell, and B. Ramon, Parametric fuzzy sets for automatic color naming, Journal of the Optical Society of America A, vol.25, issue.10, pp.2582-2593, 2008.
DOI : 10.1364/JOSAA.25.002582

B. , K. , S. J. Bedathur, O. Alonso, and G. Weikum, « A Language Modeling Approach for Temporal Information Needs, 32nd European Conference on Information Retrieval, pp.13-25, 2010.

B. Arroyo, E. , R. Benavente, and . Vidal, « Aplicació per a la predicció automàtica de la data d'adquisició d'una imatge ». Mém.de maîtr, 2013.

G. Bibliothèque-numérique, Base accessible ici : http://gallica.bnf.fr. Dernier accès août, 2015.

J. Blitzer, D. Mark, and P. Fernando, « Biographies, Bollywood, Boom-boxes and Blenders : Domain Adaptation for Sentiment Classification, 2007.

«. Freebase, A Collaboratively Created Graph Database for Structuring Human Knowledge, Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data. SIGMOD '08, pp.1247-1250

A. Borràs, T. Francesc, L. Josep, and V. María, High-Level Clothes Description Based on Colour-Texture and Structural Features, 2003.
DOI : 10.1007/978-3-540-44871-6_13

J. Sous-la-dir.-de-francisco, L. Perales, A. C. Campilho, N. Pérez-de-la, B. Alberto et al., Lecture Notes in Computer Science, pp.108-116, 2652.

B. , V. Patrice, and B. , « Modèles de langue adaptatifs et métacritères pour le filtrage de documents et le suivi temporel d'entités ». Dans : Document Numérique 18, pp.75-9675, 2015.

R. M. Boynton, X. Et-conrad, and . Olson, Salience of chromatic basic color terms confirmed by three measures, Vision Research, vol.30, issue.9, pp.1311-1317, 1990.
DOI : 10.1016/0042-6989(90)90005-6

E. Brill and . David, « A Corpus-based Approach to Language Learning ». UMI Order No. GAX93-31757, Thèse de doct, 1993.

P. F. Brown, C. John, S. A. Della, P. , V. J. Della et al., « A Statistical Approach to Machine Translation, pp.79-85, 1990.

C. , J. S. Et-maria, and J. Cardoso, Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment, Artificial Intelligence in Medicine, vol.40, issue.2, 2007.
DOI : 10.1016/j.artmed.2007.02.007

C. , J. S. Et-joaquim, F. Pinto-da, and C. , « Learning to Classify Ordinal Data : The Data Replication Method, Journal of Machine Learning Research, vol.8, pp.1393-1429, 2007.

C. , J. S. Ricardo, and S. , « Measuring the performance of ordinal classification, International Journal of Pattern Recognition and Artificial Intelligence, vol.2508, pp.1173-1195, 2011.

C. , C. Et-chih-jen, and L. , « LIBSVM : A library for support vector machines Software available at http, :27. Références bibliographiques CIEPLINSKI, Leszek MPEG-7 Color Descriptors and Their Applications, pp.1-27, 2001.

. Springer, ISBN : 3-540-42513-6, pp.11-20

C. , B. Et, and M. Haworth-booth, A Guide to Early Photographic Processes, 1983.

C. , J. F. Pinto-da, A. Hugo, and J. S. Cardoso, « The unimodal model for the classification of ordinal data, Neural Networks, vol.211, pp.78-91, 2008.

C. , K. Yoram, and S. , « Pranking with Ranking, Advances in Neural Information Processing Systems 14, pp.641-647, 2001.

D. , G. Harry, H. Mohammed, F. Stéphane, and M. Yann, « TempoWordNet for Sentence Time Tagging, Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion. WWW Companion '14. Seoul, Korea : International World Wide Web Conferences Steering Committee, pp.833-838, 2014.

D. Références-bibliographiques, . Bojan, and M. Stephen, « The Application of Inductive Logic Programming to Finite Element Mesh Design, pp.453-472, 1992.

D. , W. Ad, and F. , « Nearest Neighbour Classification with Monotonicity Constraints, Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases -Part I. ECML PKDD '08, pp.301-316, 2008.

R. , W. Van, and L. , « Experiments in Predicting Biodegradability, Applied Artificial Intelligence, pp.80-91, 1999.

C. Elkan, « The Foundations of Cost-sensitive Learning, 17th International Joint Conference on Artificial Intelligence. IJCAI, pp.973-978, 2001.

F. , B. Damien, M. Rahat, K. Tinne, and T. , « Color features for dating historical color images, IEEE International Conference on Image Processing, pp.2589-2593, 2014.

F. , B. Tatiana, T. Tinne, and T. , « Location recognition over large time lags Computer Vision and Image Understanding, pp.1077-3142, 2015.

F. , E. Mark, and H. , « A simple approach to ordinal classification, 12th European Conference on Machine Learning (ECML, pp.145-156, 2001.

G. , S. Lukas, B. Till, Q. Luc, J. Van et al., « I know what you did last summer : object-level auto-annotation of holiday snaps, 2009.

G. , L. Nathalie, and J. , « Evaluation methods for ordinal classification, Advances in Artificial Intelligence, pp.207-210, 2009.

O. Gross, D. Antoine, and T. Hannu, « Named Entity Filtering based on Concept Association Graphs Sous la dir. d'Alexander GELBUKH. Samos, Greece, 11 pages, 14th International Conference in Computational Linguistics and Intelligent Text Processing, 2013.

I. H. Witten, « The WEKA data mining software : an update, 2009.

C. Harding, Blog du « National Media Museum » de Grande Bretagne

H. , J. , and A. A. Efros, « im2gps : estimating geographic information from a single image, Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2008.

. He, P. Sheng, J. Sammara, L. Burgers, and . Schomaker, Towards Style-Based Dating of Historical Documents, 2014 14th International Conference on Frontiers in Handwriting Recognition, pp.265-270, 2014.
DOI : 10.1109/ICFHR.2014.52

H. , R. Thore, G. Klaus, and O. , « Large margin rank boundaries for ordinal regression, Advances in Neural Information Processing Systems, pp.115-132, 1999.

H. , R. Thore, G. Klaus, and O. , Regression models for ordinal data : A machine learning approach, 1999.

J. , A. Ching-man, A. Yeung, and T. Katsumi, « Estimating Document Focus Time, Proceedings of the 22Nd ACM International Conference on Conference on Information &#38 ; Knowledge Management. CIKM '13, pp.2273-2278, 2013.

J. , N. Bing, and L. , « Opinion spam and analysis, Proceedings of the international conference on Web search and web data mining, pp.219-230, 2008.

J. , P. F. Dr, H. De, D. Rode, and . Hiemstra, « Temporal Language Models for the Disclosure of Historical Text, Humanities, computers and cultural heritage : Proceedings of the XVIth International Conference of the Association for History and Computing, 2005.

. Amsterdam, The Netherlands : Royal Netherlands Academy of Arts et Sciences, p.161

K. , N. Kjetil, N. De-birte, C. Donatella, C. Bolette et al., « Improving Temporal Language Models for Determining Time of Non-timestamped Documents ». Dans : Research and Advanced Technology for Digital Libraries. Sous la dir, Lecture Notes in Computer Science, vol.5173, pp.358-370, 2008.

K. , S. , L. Personnaz, and G. Dreyfus, « Single-layer learning revisited : a stepwise procedure for building and training a neural network ». English. Dans : Neurocomputing . Sous la dir. de FrançoiseFogelman SOULIÉ et Jeanny HÉRAULT. T. 68. NATO ASI Series, pp.41-50978, 1990.

K. , J. , M. Allan, J. Verbeek, and F. Jurie, « Improving Web-Image Search Results Using Query-Relative Classifiers, 23rd Conference on Computer Vision & Pattern Recognition, pp.1094-1101, 2010.

L. , Y. Jae, A. A. Efros, and H. Martial, « Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time, IEEE International Conference on Computer Vision, ICCV 2013, pp.1857-1864, 2013.

L. Gaël, R. Brixtel, and L. Charlotte, « Évaluation intrinsèque et extrinsèque du nettoyage de pages Web, Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN'2015), pp.411-417, 2015.

L. , L. , and H. Lin, « Ordinal regression by extended binary classification Advances in neural information processing systems 19, p.865, 2007.

L. , H. T. , and Y. S. Abu-mostafa, From Ordinal Ranking to Binary Classification, California Institute of Technology. Division of ENGINEERING et Applied SCIENCE, 2008.

L. , J. Enric, M. , J. José, and V. , « Symbol recognition by error-tolerant subgraph matching between region adjacency graphs ». Dans : Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.2310, pp.1137-1143, 2001.

L. , J. Ernest, V. Gemma, S. Enric, and M. , « Symbol recognition : Current advances and perspectives ». Dans : Graphics Recognition Algorithms and Applications, pp.104-128, 2002.

L. , K. E. Et-lynn, and A. Streeter, « Comparing and Combining the Effectiveness of Latent Semantic Indexing and the Ordinary Vector Space Model for Information Retrieval, Inf. Process. Manage. 25.6, pp.665-676, 1989.

M. , C. D. Et-hinrich, and S. , Foundations of Statistical Natural Language Processing, 1999.

M. , P. Antoine, D. Frédéric, and J. , « Dating Color Images with Ordinal Classification, Proceedings of International Conference on Multimedia Retrieval, p.447, 2014.

M. , P. Marc, S. Antoine, and D. , « Temporal Reconciliation for Dating Photographs Using Entity Information, prochainement : CIKM -Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR) Melbourne AUSTRA- LIA, 2015.

. Médiathèque, Architecture et du Patrimoine ? Base Mémoire : Archives photographiques. Base accessible ici : http://www.mediatheque-patrimoine.culture.gouv

M. , J. L. Arnold, D. Well, R. Frederick, and L. , Research design and statistical analysis, 2010.

N. , D. Satoshi, and S. , « A survey of named entity recognition and classification, Linguisticae Investigationes 30.1. Publisher, pp.3-26, 2007.

P. National and . Gallery, Base accessible ici : http : / / npgportraits

N. , J. Liu, and B. , Amazon.com Users review (5.6 million) dataset

F. Palermo, H. James, and A. A. Efros, Dating Historical Color Images, pp.499-512, 2012.
DOI : 10.1007/978-3-642-33783-3_36

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.4827

P. Références-bibliographiques and J. , La mode de 1900 à nos jours, 2008.

P. , R. Janc, and . Bioch, « A Decision Tree Algorithm for Ordinal Classification Advances in Intelligent Data Analysis, 1999.

S. Andrea and K. Graham, « Timeml : Robust specification of event and temporal expressions in text, Fifth International Workshop on Computational Semantics (IWCS-5, 2003.

R. , K. Basura, F. Tatiana, T. Tinne, and T. , Does Evolution cause a Domain Shift ?, 2013.

R. , A. Sam, C. Oren, and E. , « Named entity recognition in tweets : an experimental study, Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp.1524-1534, 2011.

R. , M. Josep, and L. , « Logo Spotting by a Bag-of-words Approach for Document Categorization, IEEE Computer Society, pp.111-115, 2009.

S. , A. Et, and A. C. Blose, Dating images from scanned watermarks, 2010.

S. , A. Et, and A. C. Blose, Dating images from scanned watermarks, US Patent, vol.8290205, 2012.

H. Schmid, « Probabilistic part-of-speech tagging using decision trees, 1994.

S. , A. Anat, and L. , Ranking with Large Margin Principle : Two Approaches, 2003.

. Dans, Cancer cell 1.2, pp.203-209

C. Spearman, « The Proof and Measurement of Association Between Two Things, American Journal of Psychology, vol.15, pp.88-103, 1904.

J. Strötgen, A. Omar, and G. Michael, Identification of top relevant temporal expressions in documents, Proceedings of the 2nd Temporal Web Analytics Workshop on, TempWeb '12, pp.33-40, 2012.
DOI : 10.1145/2169095.2169102

S. , J. Michael, and G. , « HeidelTime : High Quality Rule-based Extraction and Normalization of Temporal Expressions, Proceedings of the 5th International Workshop on Semantic Evaluation. SemEval '10, pp.321-324, 2010.

S. , J. , T. W. Allan, and . Whitfield, « Salient Features of Munsell Colour Space as a Function of Monolexemic Naming and Response Latencies, Vision Research, vol.373, pp.307-313, 1997.

S. , F. M. Gjergji, K. Gerhard, and W. , « Yago : A Core of Semantic Knowledge, Proceedings of WWW, pp.697-706, 2007.

T. Museum, . Modern, and . Art, Modern Photographs The Thomas Walther Collection. http://www.moma.org/objectphoto. Dernier accès août 2015. « The Thomas Walther Collection?341 photographs by 148 artists?represents the innovative vision of the 1920s and '30s, a transformative period of modern photography and the foundation of our photo-based world, 1909.

T. , C. Adriana, and K. , « Who's Behind the Camera ? Identifying the Authorship of a Photograph, 2015.

T. , A. , R. Fergus, and W. T. Freeman, « 80 million tiny images : a large dataset for non-parametric object and scene recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.3011, 2008.

A. Victoria and . Museum, http://www.vam.ac.uk/content/articles/h/history-of- fashion-1840-1900

W. , W. Luc, and B. , « An ensemble of Weighted Support Vector Machines for Ordinal Regression, International Journal of Computer Systems Science and Engineering, vol.31, 2006.

W. , G. Zach, and L. , « Chromogenic characterisation : a study of Kodak color prints, 1942.

W. , T. , C. Tsai, and B. Leibe, « Fixing WTFs : Detecting Image Matches caused by Watermarks, Timestamps, and Frames in Internet Photos, IEEE Winter Conference on Applications of Computer Vision (WACV'15), 2015.

X. , J. James, H. , K. A. Ehinger, O. Aude et al., « Sun database : Largescale scene recognition from abbey to zoo, CVPR

X. , J. , W. Bruce, and C. , « Query Expansion Using Local and Global Document Analysis, Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR '96, pp.4-11, 1996.

Y. , H. Choog, and D. , MasterCard :Global Destination Cities Index, Rap. tech. MasterCard Worldwide Insights, p.41, 2013.

. Au, ? sortie des systèmes d'horodatage sur la face avant des photographies e.g. canon quartz date back E, Nikon Quartz date, CHINON : INFO BACK-2 (DP-520), INFO BACK (DB-010), Auto Date (AD-510) etc, 1980.

I. I. Fernando, M. Khan, and T. , Matrice de confusion de l'article de, 2014.