Publications

2016

  • S. Belharbi, R.Herault, C. Chatelain, and S. Adam, “Evolving weight multitask framework applied to deep neural network using unlabeled data,” in Esann, 2016.
    [Bibtex]
    @inproceedings{Bel16,
    author = {Belharbi, S. and R.Herault and Chatelain, C. and Adam, S.},
    booktitle = {ESANN},
    interhash = {3e098db9519d7661339d698cc368a4b4},
    intrahash = {9933511025bc86b1234c416458782f9f},
    title = {Evolving weight multitask framework applied to deep neural network using unlabeled data},
    year = 2016
    }

2015

  • A. Miron, A.Rogozan, S. Ainouz, A. Bensrhair, and A. Broggi, “An evaluation of the pedestrian classification in a multi-domain multi-modality setup,” Sensors, vol. 15, pp. 13851-13873, 2015.
    [Bibtex]
    @article{Alina15,
    author = {Miron, A. and A.Rogozan and Ainouz, S. and Bensrhair, A. and Broggi, A.},
    interhash = {f6d66251c7f2f12ea03c2e9f980468d2},
    intrahash = {2748f9c14a1e37461bb5942760debf3e},
    journal = {Sensors},
    pages = {13851-13873},
    title = {An evaluation of the pedestrian classification in a multi-domain multi-modality setup},
    volume = 15,
    year = 2015
    }
  • G. Mesnil, Y. Dauphin, K. Yao, Y. Bengio, L. Deng, D. Hakkani-Tur, X. He, L. Heck, G. Tur, D. Yu, and others, “Using recurrent neural networks for slot filling in spoken language understanding,” Audio, speech, and language processing, ieee/acm transactions on, vol. 23, iss. 3, pp. 530-539, 2015.
    [Bibtex]
    @article{mesnil2015using,
    author = {Mesnil, Gr{\'e}goire and Dauphin, Yann and Yao, Kaisheng and Bengio, Yoshua and Deng, Li and Hakkani-Tur, Dilek and He, Xiaodong and Heck, Larry and Tur, Gokhan and Yu, Dong and others},
    interhash = {5b9cfe439d592e996b3a893cdf68b8e4},
    intrahash = {12c48bb428e5b9a72c9b3e6532a4b302},
    journal = {Audio, Speech, and Language Processing, IEEE/ACM Transactions on},
    number = 3,
    pages = {530--539},
    publisher = {IEEE},
    title = {Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding},
    volume = 23,
    year = 2015
    }
  • P. Kulkarni, J. Zepeda, F. Jurie, P. PĂ©rez, and L. Chevallier, “Hybrid multi-layer deep cnn/aggregator feature for image classification,” Corr, vol. abs/1503.04065, 2015.
    [Bibtex]
    @article{DBLP:journals/corr/KulkarniZJPC15,
    author = {Kulkarni, Praveen and Zepeda, Joaquin and Jurie, Fr{\'{e}}d{\'{e}}ric and P{\'{e}}rez, Patrick and Chevallier, Louis},
    bibsource = {dblp computer science bibliography, http://dblp.org},
    interhash = {6c63c9670c3d10d9b2a60a798f18a62c},
    intrahash = {d791e2cc833eab5621ac8ae6c0b4b330},
    journal = {CoRR},
    title = {Hybrid multi-layer Deep CNN/Aggregator feature for image classification},
    url = {http://arxiv.org/abs/1503.04065},
    volume = {abs/1503.04065},
    year = 2015
    }
  • J. Lerouge, R. Herault, C. Chatelain, F. Jardin, and R. Modzelewski, “Ioda: an input output deep architecture for image labeling,” Pattern recognition, vol. 48, iss. 9, pp. 2847-2858, 2015.
    [Bibtex]
    @article{Ler15,
    author = {Lerouge, J. and Herault, R. and Chatelain, C. and Jardin, F. and Modzelewski, R.},
    interhash = {ba4cccfb99cfcdb113905f7223bcd947},
    intrahash = {60f39c4eb4f5437f4090726204211b67},
    journal = {Pattern Recognition},
    number = 9,
    pages = {2847--2858},
    title = {IODA: An Input Output Deep Architecture for image labeling},
    url = {http://clement.chatelain.free.fr/publications/PR_IODA_2015.pdf},
    volume = 48,
    year = 2015
    }
  • S. Belharbi, C. Chatelain, R.Herault, and S. Adam, “Learning structured output dependencies using deep neural networks,” in Deep learning workshop, icml, 2015.
    [Bibtex]
    @inproceedings{Bel15,
    author = {Belharbi, S. and Chatelain, C. and R.Herault and Adam, S.},
    booktitle = {Deep Learning Workshop, ICML},
    interhash = {4f065a4dd339e97a24744ad675c39fae},
    intrahash = {4e564d4a00d555bd0832e5199f1a0df5},
    title = {Learning Structured Output Dependencies Using Deep Neural Networks},
    year = 2015
    }
  • L. Mioulet, G. Bideault, C. Chatelain, and T. Paquet, “Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition,” in Document recognition and retrieval, 2015.
    [Bibtex]
    @inproceedings{Mio15,
    author = {Mioulet, L. and Bideault, G. and Chatelain, C. and Paquet, T.},
    booktitle = {Document Recognition and Retrieval},
    interhash = {f1d4b1c24c1723cdca93dcaa5a13138c},
    intrahash = {30f5cf10561545cde394ac671db8b71d},
    title = {Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition},
    url = {http://clement.chatelain.free.fr/publications/DRR_FeatureCombination.pdf},
    year = 2015
    }
  • G. Bideault, L. Mioulet, C. Chatelain, and T. Paquet, “Spotting handwritten words and regex using a two stage blstm-hmm architecture,” in Document recognition and retrieval, 2015.
    [Bibtex]
    @inproceedings{Bid15,
    author = {Bideault, G. and Mioulet, L. and Chatelain, C. and Paquet, T.},
    booktitle = {Document Recognition and Retrieval},
    interhash = {c1021e30fb4b9c2a64dbea4b32ec4934},
    intrahash = {fdc18ba96d70a979b18529fb3e68f0c6},
    title = {Spotting handwritten words and REGEX using a two stage BLSTM-HMM architecture},
    url = {http://clement.chatelain.free.fr/publications/DRR-REGEX-spotting-bideault.pdf},
    year = 2015
    }

2014

  • G. Mesnil, A. Bordes, J. Weston, G. Chechik, and Y. Bengio, “Learning semantic representations of objects and their parts,” Machine learning, vol. 94, iss. 2, pp. 281-301, 2014.
    [Bibtex]
    @article{mesnil2014learning,
    author = {Mesnil, Gr{\'e}goire and Bordes, Antoine and Weston, Jason and Chechik, Gal and Bengio, Yoshua},
    interhash = {382ece84e2396faa786912cd3d55f0a8},
    intrahash = {929454834a8959722bd084430dbd5ee3},
    journal = {Machine learning},
    number = 2,
    pages = {281--301},
    publisher = {Springer US},
    title = {Learning semantic representations of objects and their parts},
    volume = 94,
    year = 2014
    }
  • [DOI] B. Ma, Y. Su, and F. Jurie, “Covariance descriptor based on bio-inspired features for person re-identification and face verification,” Image vision comput., vol. 32, iss. 6-7, pp. 379-390, 2014.
    [Bibtex]
    @article{DBLP:journals/ivc/MaSJ14,
    author = {Ma, Bingpeng and Su, Yu and Jurie, Fr{\'{e}}d{\'{e}}ric},
    bibsource = {dblp computer science bibliography, http://dblp.org},
    doi = {10.1016/j.imavis.2014.04.002},
    interhash = {1c5fc5315ff86f519a3524a91a7e88ad},
    intrahash = {f5b18a5940fc2c88a5bf49680d9c6518},
    journal = {Image Vision Comput.},
    number = {6-7},
    pages = {379--390},
    title = {Covariance descriptor based on bio-inspired features for person re-identification
    and face verification},
    url = {http://dx.doi.org/10.1016/j.imavis.2014.04.002},
    volume = 32,
    year = 2014
    }

2013

  • G. Mesnil, X. He, L. Deng, and Y. Bengio, “Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.,” in Interspeech, 2013, pp. 3771-3775.
    [Bibtex]
    @inproceedings{mesnil2013investigation,
    author = {Mesnil, Gr{\'e}goire and He, Xiaodong and Deng, Li and Bengio, Yoshua},
    booktitle = {INTERSPEECH},
    interhash = {3a677e20d5fd533a8e1068e5e9de3ced},
    intrahash = {9644c622d707143b2aedbff925df6ee6},
    pages = {3771--3775},
    title = {Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.},
    year = 2013
    }
  • A. Rakotomamonjy, “Direct optimization of the dictionary learning problem,” Ieee transactions on signal processing, vol. 61, iss. 22, pp. 5495-5506, 2013.
    [Bibtex]
    @article{Rak13,
    author = {Rakotomamonjy, A.},
    interhash = {0cb743de6a6f7160349f2fa3bc381b78},
    intrahash = {10fcd1ae77f1f5514e03ea35604e17bd},
    journal = {IEEE Transactions on Signal Processing},
    number = 22,
    pages = {5495--5506},
    title = {Direct Optimization of the Dictionary Learning Problem},
    volume = 61,
    year = 2013
    }
  • J.Delporte, A.Karatzoglou, T.Matuszczyk, and S.Canu, “Socially enabled preference learning from implicit feedback data,” in Ecml pkdd, 2013, pp. 145-160.
    [Bibtex]
    @inproceedings{DBLP:conf/pkdd/DelporteKMC13,
    author = {J.Delporte and A.Karatzoglou and T.Matuszczyk and S.Canu},
    booktitle = {ECML PKDD},
    interhash = {b84adc3522d3e7a64d8e8adc6bbea657},
    intrahash = {69c74e1530d41d4c642d2961fa38d2d1},
    pages = {145--160},
    title = {Socially Enabled Preference Learning from Implicit Feedback Data},
    year = 2013
    }

2012

  • B. Ma, Y. Su, and F. Jurie, “Local descriptors encoded by fisher vectors for person re-identification,” in Computer vision–eccv 2012. workshops and demonstrations, 2012, pp. 413-422.
    [Bibtex]
    @inproceedings{ma2012local,
    author = {Ma, Bingpeng and Su, Yu and Jurie, Fr{\'e}d{\'e}ric},
    booktitle = {Computer Vision--ECCV 2012. Workshops and Demonstrations},
    interhash = {e9d946e17881ce1546a85a0ce6812646},
    intrahash = {a0b5f3b6ac1cde6c0ec04d8c63b2f632},
    organization = {Springer},
    pages = {413--422},
    title = {Local descriptors encoded by fisher vectors for person re-identification},
    year = 2012
    }
  • B. Ma, Y. Su, and F. Jurie, “Bicov: a novel image representation for person re-identification and face verification,” in British machive vision conference, 2012, p. 11–pages.
    [Bibtex]
    @inproceedings{ma2012bicov,
    author = {Ma, Bingpeng and Su, Yu and Jurie, Fr{\'e}d{\'e}ric},
    booktitle = {British Machive Vision Conference},
    interhash = {676d361a8e5ab280bf007b631741b726},
    intrahash = {d387907dc65ac48b649e2e8f9a7771bd},
    pages = {11--pages},
    title = {Bicov: a novel image representation for person re-identification and face verification},
    year = 2012
    }

2011

  • G. Gasso, A. Pappaioannou, M. Spivak, and L. Bottou, “Batch and online learning algorithms for nonconvex neyman-pearson classification,” ACM TIST, vol. 2, iss. 3, p. 28, 2011.
    [Bibtex]
    @article{Gas11,
    author = {Gasso, G. and Pappaioannou, A. and Spivak, M. and Bottou, L.},
    interhash = {f30cb24f4909b662e26ceb1489639e5f},
    intrahash = {215f134a4123610ce950d0733ca4bd8d},
    journal = {{ACM} {TIST}},
    number = 3,
    pages = 28,
    title = {Batch and online learning algorithms for nonconvex neyman-pearson classification},
    volume = 2,
    year = 2011
    }

2010

  • V. Ferrari, F. Jurie, and C. Schmid, “From images to shape models for object detection,” International journal of computer vision, vol. 87, iss. 3, pp. 284-303, 2010.
    [Bibtex]
    @article{ferrari2010images,
    author = {Ferrari, Vittorio and Jurie, Frederic and Schmid, Cordelia},
    interhash = {622fc1682defd5585cdf61e3ef858595},
    intrahash = {a6a9c7956b55d2891542716f7a187448},
    journal = {International journal of computer vision},
    number = 3,
    pages = {284--303},
    publisher = {Springer},
    title = {From images to shape models for object detection},
    volume = 87,
    year = 2010
    }

2009

  • B. Labbe, R. Herault, and C. Chatelain, “Learning deep neural networks for high dimensional output problems,” in Icmla, miami, usa, 2009, p. 6p.
    [Bibtex]
    @inproceedings{Lab09,
    author = {Labbe, B. and Herault, R. and Chatelain, C.},
    booktitle = {ICMLA, Miami, USA},
    interhash = {c0d8f6bb2f9ebea79d1f45182a062d94},
    intrahash = {d854434c95c0129e6fa73410f4b9d799},
    pages = {6p},
    title = {Learning Deep Neural Networks for High Dimensional Output Problems},
    url = {http://hal.archives-ouvertes.fr/docs/00/43/87/14/PDF/icmla09.pdf},
    year = 2009
    }

2008

  • A. Rakotomamonjy, F. Bach, S. Canu, Y. Grandvalet, and others, “Simplemkl,” Journal of machine learning research, vol. 9, pp. 2491-2521, 2008.
    [Bibtex]
    @article{rak08,
    author = {Rakotomamonjy, A. and Bach, F. and Canu, S. and Grandvalet, Y. and others},
    interhash = {a36db9bbeaec989290740677ce6a6645},
    intrahash = {cd85ec5cd91270828acc3f977104014f},
    journal = {Journal of Machine Learning Research},
    pages = {2491--2521},
    title = {SimpleMKL},
    volume = 9,
    year = 2008
    }

1990

  • S. Canu, R. Sobral, and R. LengellĂ©, “Formal neural network as an adaptative model for water demand,” in Proceedings innc’90, 1990, pp. 131-136.
    [Bibtex]
    @inproceedings{canua90,
    author = {Canu, S. and Sobral, R. and Lengell\'{e}, R.},
    booktitle = {Proceedings INNC'90},
    interhash = {1c38f317b8b0624cf983f3af124e61d6},
    intrahash = {476c6013962eef7ca5fa55c0a302eae1},
    pages = {131--136},
    publisher = {Kluwer Academic Publishers},
    title = {Formal neural network as an adaptative model for water demand},
    year = 1990
    }