Bibliography
Major publications by the team in recent years
- [1]
- L. Amsaleg, P. Gros.
Content-based Retrieval Using Local Descriptors: Problems and Issues from a Database Perspective, in: Pattern Analysis and Applications, March 2001, vol. 2001, no 4, p. 108-124. - [2]
- J. André, A. Morin, H. Richy.
Comparison of Literary Texts using Biological Sequence Comparison and Structured Documents Capabilities, in: Proceedings of the International Conference on Computational Linguistics, Speech and Document Processing, ICCLSDP'98, Calcutta, India, February 1998. - [3]
- V. Claveau, P. Sébillot, C. Fabre, P. Bouillon.
Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming, in: Journal of Machine Learning Research, special issue on Inductive Logic Programming, August 2003, vol. 4, p. 493–525. - [4]
- M. Delakis, G. Gravier, P. Gros.
Multimodal Segmental-Based Modeling of Tennis Video Broadcasts, in: Proceedings of IEEE International Conference on Multimedia and Expo, Amsterdam, Netherlands, July 2005
http://www.irisa.fr/texmex/publications/versionElect/2005/icme2005_manolis.pdf. - [5]
- E. Kijak, G. Gravier, L. Oisel, P. Gros.
Audiovisual integration for sport broadcast structuring, in: Multimedia Tools and Applications, 2006, vol. 30, p. 289-312
http://www.springerlink.com/content/24h61433843r474l/. - [6]
- H. Lejsek, F.-H. Ásmundsson, B.-Þ. Jónsson, L. Amsaleg.
Scalability of Local Image Descriptors: A Comparative Study, in: Proceedings of the 14th ACM International Conference on Multimedia, Santa Barbara, CA, USA, October 2006
http://www.irisa.fr/texmex/publications/versionElect/2006/fp33a-lejsek.pdf. - [7]
- R. Priam, A. Morin.
Visualisation des corpus textuels par treillis de multinomiales auto-organisées - Généralisation de l'analyse factorielle des correspondances, in: Revue Extraction des Connaissances et Apprentissage (Actes EGC'02), 2002, vol. 1, no 4, p. 407-412. - [8]
- M. Rossignol, P. Sébillot.
Combining Statistical Data Analysis Techniques to Extract Topical Keyword Classes from Corpora, in: IDA (Intelligent Data Analysis), 2005, vol. 9, no 1, p. 105-127. - [9]
- F. Tonnin, P. Gros, C. Guillemot.
Analysis of multiresolution representations for compression and local description of images, in: Proceedings of the 8th International Conference on Visual Information and Information Systems, VISUAL'05, Amsterdam, The Netherlands, 2005.
Publications of the year
Doctoral Dissertations and Habilitation Theses
- [10]
- N.-K. Pham.
Analyse factorielle des corrspondances pour l'indexation et la recherche d'information dans une grande base de données d'images, Université de Rennes 1, November 2009
http://www.irisa.fr/centredoc/publis/theses/, Thèse de doctorat.
Articles in International Peer-Reviewed Journal
- [11]
- T.-N. Do, V.-H. Nguyen, F. Poulet.
GPU-based Parallel SVM Algorithm, in: JFCST, Journal of Frontiers of Computer Science and Technology, 2009, vol. 3, no 4, p. 368-377. - [12]
- S. Huet, G. Gravier, P. Sébillot.
Morpho-Syntactic Post-Processing with N-best Lists for Improved French Automatic Speech Recognition, in: Computer Speech and Language, October 2009
http://www.irisa.fr/texmex/publications/versionElect/2009/huet-csl-09.pdf. - [13]
- S. Petrovic, B. Dalbelo Basic, A. Morin, B. Zupan, J.-H. Chauchat.
Textual features for corpus visualization using correspondence analysis, in: Intell. Data Anal., 2009, vol. 13, no 5, p. 795-813. - [14]
- R. Tavenard, L. Amsaleg, G. Gravier.
Model-based similarity estimation of multidimensional temporal sequences, in: Annals of Telecommunications, 2009, vol. 64, Issue 5 (2009), p. 381-390
http://dx.doi.org/10.1007/s12243-009-0091-4.
Articles in National Peer-Reviewed Journal
- [15]
- F. Poulet, T.-N. Do, V.-H. Nguyen.
SVM incrémental et parallèle sur GPU, in: RNTI-E-15, Revue des Nouvelles Technologies de l'Information, 2009, p. 103-114.
International Peer-Reviewed Conference/Proceedings
- [16]
- S. Baghdadi, C.-H. Demarty, G. Gravier, P. Gros.
Apprentissage de structure dans les réseaux bayésiens pour la détection d'évènement vidéo, in: Actes de la conférence Traitement et Analyse de l'Information : Méthodes et Applications (TAIMA), Hammamet, Tunisie, may 2009. - [17]
- P. Bosc, V. Claveau, O. Pivert, L. Ughetto.
Graded-Inclusion-Based Information retrieval Systems, in: Proceedings of European Conference on Information Retrieval (ECIR'09), Toulouse, France, M. Boughanem, C. Berrut, J. Mothe, C. Soule-Dupuy (editors), LNCS 5478, Springer, April 2009, p. 321–336. - [18]
- P. Bosc, L. Ughetto, O. Pivert, V. Claveau.
Implication-Based and Cardinality-Based Inclusions in Information Retrieval, in: Proceedings of the IEEE International Conference on Fuzzy Systems (Fuzz-IEEE'09), Jeju Island, South Korea, August 2009, p. 2088–2093
http://dx.doi.org/10.1109/FUZZY.2009.5277249. - [19]
- V. Claveau.
Letter-to-phoneme conversion by inference of rewriting rules, in: Proceedings of the 10th Annual Conference of the International Speech Communication Association, InterSpeech, Brighton UK, September 2009. - [20]
- M. Douze, H. Jégou, H. Singh, L. Amsaleg, C. Schmid.
Evaluation of GIST descriptors for web-scale image search, in: International Conference on Image and Video Retrieval, Island of Santorini, Greece, July 2009. - [21]
- C. Guinaudeau, G. Gravier, P. Sébillot.
Can Automatic Speech Transcripts be Used for Large Scale TV Stream Description and Structuring ?, in: First International Workshop on Content-Based Audio/Video Analysis for Novel TV Services, San Diego, CA, USA, December 2009
http://www.irisa.fr/texmex/publications/versionElect/2009/pascale09.pdf, In conjunction with the International IEEE Symposium on Multimedia. - [22]
- G. Lecorvé, G. Gravier, P. Sébillot.
Constraint selection for topic-based MDI adaptation of language models, in: Proceedings of the International Conference on Speech and Language Technology (Interspeech'09), Brighton, UK, September 2009, p. 368–371
http://www.irisa.fr/texmex/publications/versionElect/2009/LeGS2009.pdf. - [23]
- H. Lejsek, F. H. Ásmundsson, K. Daðason, B. Jóhannesson, Æ. Kvaran, B. Þ. Jónsson, L. Amsaleg.
Videntifier Forensic: A New Law Enforcement Service for Automatic Identification of Illegal Video Material, in: ACM Multimedia 2009 Workshop: Multimedia in Forensics, Beijing, P. R. China, October 2009. - [24]
- H. Lejsek, F. H. Ásmundsson, K. Daðason, B. Þ. Jónsson, L. Amsaleg.
Videntifier Forensic: Robust and Efficient Detection of Illegal Multimedia, a demonstration, in: ACM Multimedia, Beijing, P. R. China, October 2009. - [25]
- N.-K. Pham, A. Morin, P. Gros, Q.-T. Le.
Accelerating image retrieval using factorial correspondence analysis on GPU, in: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (CAIP'09), Münster, Germany, Springer LNCS, 2009, vol. 5702, p. 565-572. - [26]
- N.-K. Pham, A. Morin, P. Gros.
Accelerating Image Retrieval Using Factorial Correspondence Analysis on GPU, in: Proceedings of CAIP, 2009, p. 565-572. - [27]
- L. Umek, B. Zupan, M. Toplak, A. Morin, J.-H. Chauchat, G. Makovec, D. Smrke.
Subgroup Discovery in Data Sets with Multi-dimensional Responses: A Method and a Case Study in Traumatology, in: Proceedings of AIME, 2009, p. 265-274. - [28]
- J. Zepeda, E. Kijak, C. Guillemot.
SIFT-Based Local Image Description using Sparse Representations, in: Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP09), Rio de Janeiro, Brazil, October 2009.
National Peer-Reviewed Conference/Proceedings
- [29]
- V. Claveau.
La phonétisation comme un problème de translittération, in: Actes de la conférence Traitement automatique des langues naturelles, TALN'09, Senlis, France, June 2009, short paper. - [30]
- T.-N. Do, S. Lallich, N.-K. Pham, P. Lenca.
Un nouvel algorithme de forêts aléatoires d'arbres obliques particulièrement adapté à la classification de données en grandes dimensions, in: Actes de la conférence Extraction et Gestion de Connaissances (EGC'09), 2009, p. 79-90. - [31]
- T.-N. Do, N.-K. Pham, F. Poulet.
Une méthode anthropocentrée pour la construction d'arbres de décision, in: Proceedings of 7ème Atelier Visualisation et Extraction de Connaissances, Extraction et Gestion de Connaissances (EGC'09), Strasbourg, Fance, F. Poulet, B. Le Grand, T.-N. Do, M.-A. Aufaure (editors), January 2009, p. 33-43. - [32]
- C. Guinaudeau.
Recherche d'information textuelle et phonétique pour le contrôle de l'étiquetage automatique d'émissions dans un flux télévisuel, in: Actes des Rencontres Jeunes Chercheurs en Recherche d'Information (RJCRI'09), Presqu'île de Giens, France, May 2009
http://www.irisa.fr/texmex/publications/versionElect/2009/camille09.pdf. - [33]
- T.-B. Nguyen, P. Lenca, T.-N. Do, F. Poulet.
Visualisation de réseaux d'experts, in: Proceedings of 7ème Atelier Visualisation et Extraction de Connaissances, Extraction et Gestion de Connaissances (EGC'09), Strasbourg, France, F. Poulet, B. Le Grand, T.-N. Do, M.-A. Aufaure (editors), January 2009, p. 1-6. - [34]
- N.-K. Pham, A. Morin, P. Gros, Q.-T. Le.
Utilisation de l'analyse factorielle des correspondances pour la recherche d'images à grande échelle, in: Actes de la conférence Extraction et Gestion de Connaissances (EGC'09), 2009, p. 283-294. - [35]
- L. Ughetto, O. Pivert, V. Claveau, P. Bosc.
Recherche d'information et inclusions graduelles, in: Actes des Journées Francophones sur la Logique Floue et ses Applications (LFA'09), Annecy, France, Cépaduès éditions, November 2009, p. 125–132. - [36]
- L. Ughetto, O. Pivert, V. Claveau, P. Bosc.
SRI à base d'inclusion graduelle, in: Actes de la Conférence en Recherche d'Infomations et Applications (CORIA'09), Presqu'île de Giens, France, May 2009, p. 235–250.
Scientific Books (or Scientific Book chapters)
- [37]
- V. Claveau.
Translation of Biomedical Terms by Inferring Rewriting Rules, in: Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration, V. Prince, M. Roche (editors), IGI - Global, 2009, chap. 6. - [38]
- T.-N. Do, F. Poulet.
Kernel-Based Algorithms and Visualization for Interval Data Mining (invited chapter), in: Mining Complex Data, D. A. Zighed, S. Tsumoto, Z. W. Ras, H. Hacid (editors), Studies in Computational Intelligence, Springer-Verlag, 2009, vol. 165, p. 75-91. - [39]
- N.-K. Pham, A. Morin, P. Gros, Q.-T. Le.
Intensive use of factorial correspondence analysis for large scale content-based image retrieval, in: Advances in Knowledge Discovery and Management (AKDM'09), Springer-Verlag, 2009. - [40]
- D. Than-Nghi, S. Lallich, N.-K. Pham, P. Lenca.
Classifying very-high-dimensional data with random forests of oblique decision trees, in: Advances in Knowledge Discovery and Management (AKDM'09), Springer-Verlag, 2009.
Books or Proceedings Editing
- [41]
- F. Poulet, B. Le Grand, T.-N. Do, M.-A. Aufaure (editors)
Actes du 7ème Atelier Visualisation et Extraction de Connaissances, Extraction et Gestion de Connaissances (EGC'09), January 2009.
Internal Reports
- [42]
- P. Tirilly, V. Claveau, P. Gros.
A review of weighting schemes for bag of visual words image retrieval, IRISA - INRIA Rennes Bretagne Atlantique, April 2009, no 1927, Technical report.
References in notes
- [43]
- S. Wermter, E. Riloff, G. Scheler (editors)
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing, Lecture Notes in Computer Science, Vol. 1040, Springer Verlag, 1996. - [44]
- C. C. Aggarwal, A. Hinneburg, D. A. Keim.
On the surprising behavior of distance metrics in high dimensional space, in: Lecture Notes in Computer Science, Springer, 2001, p. 420–434. - [45]
- G. Amati, C. J. Van Rijsbergen.
Probabilistic models of information retrieval based on measuring the divergence from randomness, in: ACM Transactions on Information Systems, 2002, vol. 20, no 4, p. 357–389
http://doi.acm.org/10.1145/582415.582416. - [46]
- L. Amsaleg.
Indexation multidimensionnelle, in: L'indexation multimédia. Description et recherche automatiques, P. Gros (editor), Hermes, 2007, p. 215-244. - [47]
- S.-A. Berrani, L. Amsaleg, P. Gros.
Recherche par similarités dans les bases de données multidimensionnelles : panorama des techniques d'indexation, in: Ingénierie des Systèmes d'Information, 2002, vol. 7, no 5/6. - [48]
- C. Böhm, S. Berchtold, D. Keim.
Searching in High-dimensional Spaces: Index Structures for Improving the Performance of Multimedia Databases, in: ACM Computing Surveys, September 2001, vol. 33, no 3. - [49]
- T. Dean, K. Kanazawa.
A model for reasoning about persistence and causation, in: Articial Intelligence Journal, 1989, vol. 93, no 1. - [50]
- R. Fagin, R. Kumar, D. Sivakumar.
Efficient similarity search and classification via rank aggregation, in: Proceedings of the ACM SIGMOD Conference, San Diego, CA, 2003. - [51]
- L. Florack, B. ter Haar Romeny, J. Koenderink, M. Viergever.
General Intensity Transformation and Differential Invariants, in: Journal of Mathematical Imaging and Vision, 1994, vol. 4, no 2, p. 171-187. - [52]
- A. Gionis, P. Indyk, R. Motwani.
Similarity Search in High Dimensions via Hashing, in: Proceedings of the 25th International Conference on Very Large Data Bases, Edinburgh, Scotland, United Kingdom, September 1999, p. 518–529. - [53]
- A. Guttman.
R-Trees: A Dynamic Index Structure for Spatial Searching, in: ACM SIGMOD, 1984. - [54]
- C. Harris, M. Stephens.
A Combined Corner and Edge Detector, in: Proceedings of the 4th Alvey Vision Conference, 1988, p. 147-151. - [55]
- S. Huet, G. Gravier, P. Sébillot.
Un modèle multi-sources pour la segmentation en sujets de journaux radiophoniques, in: Actes de la 15ème conférence sur le Traitement Automatique des Langues Naturelles (TALN), Avignon, France, june 2008, p. 49-58
http://www.irisa.fr/texmex/publications/versionElect/2008/HGS08b.pdf. - [56]
- H. Jégou, H. Harzallah, C. Schmid.
A contextual dissimilarity measure for accurate and efficient image search, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR'07, Minneapolis, Minnesota, USA, June 2007, p. 1–8. - [57]
- D. G. Lowe.
Distinctive image features from scale-invariant keypoints, in: International Journal of Computer Vision, 2004, vol. 60, no 2, p. 91–110. - [58]
- K. Murphy.
Dynamic Bayesian Networks: Representation, Inference and Learning, University of California, Berkeley, 2002, Ph. D. Thesis. - [59]
- X. Naturel.
Structuration automatique de flux vidéos de télévision, University of Rennes 1, April 2007
http://www.irisa.fr/centredoc/publis/theses/irisafolder.2007-03-01.1633154603/irisapublication.2007-04-26.0496201623, Ph. D. Thesis. - [60]
- D. Nistér, H. Stewénius.
Scalable recognition with a vocabulary tree, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR'06, New-York, New-York, USA, June 2006, vol. 2, p. 2161–2168. - [61]
- M. Ostendorf.
From HMMs to Segment Models, in: Automatic Speech and Speaker Recognition - Advanced Topics, Kluwer Academic Publishers, 1996, chap. 8. - [62]
- L. Rabiner, B.-H. Juang.
Fundamentals of speech recognition, Prentice Hall, Englewood Cliffs, NJ, 1993. - [63]
- J. Robinson.
The K-D-B-Tree: A Search Structure For Large Multidimensional Dynamic Indexes, in: ACM SIGMOD, 1981. - [64]
- G. Salton, C. Buckley.
Term-weighting approaches in automatic text retrieval, in: Information Processing and Management, 1988, vol. 24, no 5, p. 513–523. - [65]
- G. Salton.
Automatic Text Processing, Addison-Wesley, 1989. - [66]
- C. Schmid, R. Mohr.
Local Grayvalue Invariants for Image Retrieval, in: ieee Transactions on Pattern Analysis and Machine Intelligence, May 1997, vol. 19, no 5, p. 530–534. - [67]
- J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman, W. T. Freeman.
Discovering Object Categories in Image Collections, in: Proceedings of the International Conference on Computer Vision, Beijing, China, 2005. - [68]
- J. Sivic, A. Zisserman.
Video Google: A Text Retrieval Approach to Object Matching in Videos, in: Proceedings of the International Conference on Computer Vision, October 2003, vol. 2, p. 1470–1477. - [69]
- P. Tirilly, E. Martienne, V. Claveau, P. Gros.
Association d'un détecteur de visages et d'un détecteur d'entités nommées pour l'annotation automatique d'images, in: Rencontres Jeunes Chercheurs en Recherche d'Information (RJCRI), Saint-Etienne, France, 2007. - [70]
- M. Utiyama, H. Isahara.
A Statistical Model for Domain-Independent Text Segmentation, in: Proceedings of the 39th Annual Meeting of Association for Computational Linguistics, ACL'01, Toulouse, France, July 2001.