Nombre de documents

99

CV de Jakob Verbeek


Communication dans un congrès52 documents

  • Shreyas Saxena, Jakob Verbeek. Heterogeneous Face Recognition with CNNs. ECCV TASK-CV 2016 Workshops, Oct 2016, Amsterdam, Netherlands. European Conference on Computer Vision Workshops. <hal-01367455>
  • Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek. Semantic Segmentation using Adversarial Networks. NIPS Workshop on Adversarial Training, Dec 2016, Barcelona, Spain. <hal-01398049>
  • Shreyas Saxena, Jakob Verbeek. Convolutional Neural Fabrics. Advances in Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain. <hal-01359150v2>
  • Shreyas Saxena, Jakob Verbeek. Coordinated Local Metric Learning. ICCV ChaLearn Looking at People workshop, Dec 2015, Santiago, Chile. Proceedings IEEE International Conference on Computer Vision Workshops. <hal-01215272>
  • Valentina Zadrija, Josip Krapac, Jakob Verbeek, Siniša Šegvić. Patch-level spatial layout for classification and weakly supervised localization. German Conference on Pattern Recognition, Oct 2015, Aachen, Germany. <http://gcpr2015.rwth-aachen.de/>. <hal-01186677>
  • Dan Oneata, Jakob Verbeek, Cordelia Schmid. Efficient Action Localization with Approximately Normalized Fisher Vectors. CVPR 2014 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2014, Columbus, OH, United States. IEEE, 2014. <hal-00979594v2>
  • Dan Oneata, Jérôme Revaud, Jakob Verbeek, Cordelia Schmid. Spatio-Temporal Object Detection Proposals. ECCV 2014 - European Conference on Computer Vision, Sep 2014, Zurich, Switzerland. Springer, 8691, pp.737-752, 2014, <10.1007/978-3-319-10578-9_48>. <hal-01021902v2>
  • Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid. Multi-fold MIL Training for Weakly Supervised Object Localization. CVPR 2014 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2014, Columbus, United States. IEEE, 2014. <hal-00975746>
  • Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid. Segmentation Driven Object Detection with Fisher Vectors. ICCV 2013 - IEEE International Conference on Computer Vision, Dec 2013, Sydney, Australia. IEEE, pp.2968-2975, 2013, <10.1109/ICCV.2013.369>. <hal-00873134v2>
  • Dan Oneata, Jakob Verbeek, Cordelia Schmid. Action and Event Recognition with Fisher Vectors on a Compact Feature Set. ICCV 2013 - IEEE International Conference on Computer Vision, Dec 2013, Sydney, Australia. IEEE, pp.1817-1824, 2013, <10.1109/ICCV.2013.228>. <hal-00873662v2>
  • Hervé Bredin, Johann Poignant, Guillaume Fortier, Makarand Tapaswi, Viet-Bac Le, et al.. QCompere @ REPERE 2013. SLAM 2013 - First Workshop on Speech, Language and Audio for Multimedia, Aug 2013, Marseille, France. pp.49-54, 2013. <hal-00949320>
  • Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid. Image categorization using Fisher kernels of non-iid image models. CVPR 2012 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2012, Providence, United States. IEEE, pp.2184-2191, 2012, <10.1109/CVPR.2012.6247926>. <hal-00685943>
  • Hervé Bredin, Johann Poignant, Makarand Tapaswi, Guillaume Fortier, Viet Bac Le, et al.. Fusion of Speech, Faces and Text for Person Identification in TV Broadcast. Andrea Fusiello, Vittorio Murino, Rita Cucchiara. ECCV 2012 - 12th European Conference on Computer Vision, Oct 2012, Firenze, Italy. Springer Berlin, 7585, pp.385-394, 2012, Proceedings of Computer Vision - ECCV 2012. Workshops and Demonstrations, Part III; Lecture Notes in Computer Science (LNCS). <10.1007/978-3-642-33885-4_39>. <hal-00722884>
  • Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka. Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost. Andrew Fitzgibbon and Svetlana Lazebnik and Pietro Perona and Yoichi Sato and Cordelia Schmid. ECCV 2012 - 12th European Conference on Computer Vision, Oct 2012, Florence, Italy. Springer, 7573, pp.488-501, 2012, Lecture Notes in Computer Science; Computer Vision - ECCV 2012. <10.1007/978-3-642-33709-3_35>. <hal-00722313>
  • Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid. Unsupervised Metric Learning for Face Identification in TV Video. ICCV 2011 - International Conference on Computer Vision, Nov 2011, Barcelona, Spain. IEEE, pp.1559-1566, 2011, <10.1109/ICCV.2011.6126415>. <inria-00611682>
  • Josip Krapac, Jakob Verbeek, Frédéric Jurie. Learning Tree-structured Descriptor Quantizers for Image Categorization. Jesse Hoey and Stephen McKenna and Emanuele Trucco. BMVC 2011 - British Machine Vision Conference, Aug 2011, Dundee, United Kingdom. BMVA Press, pp.47.1-47.11, 2011, <10.5244/C.25.47>. <inria-00613118>
  • Thomas Mensink, Jakob Verbeek, Gabriela Csurka. Learning structured prediction models for interactive image labeling. CVPR 2011 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2011, Colorado Springs, United States. IEEE, pp.833-840, 2011, <10.1109/CVPR.2011.5995380>. <inria-00567374>
  • Thomas Mensink, Jakob Verbeek, Tiberio Caetano. Learning to Rank and Quadratic Assignment. DISCML 2011 - NIPS Workshop on Discrete Optimization in Machine Learning, Dec 2011, Granada, Spain. 2011. <hal-00645623v4>
  • Josip Krapac, Jakob Verbeek, Frédéric Jurie. Modeling Spatial Layout with Fisher Vectors for Image Categorization. ICCV 2011 - International Conference on Computer Vision, Nov 2011, Barcelona, Spain. IEEE, pp.1487-1494, 2011, <10.1109/ICCV.2011.6126406>. <inria-00612277v2>
  • Jakob Verbeek, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid. Image Annotation with TagProp on the MIRFLICKR set. MIR 2010 - 11th ACM International Conference on Multimedia Information Retrieval, Mar 2010, Philadephia, United States. ACM Press, pp.537-546, 2010, <10.1145/1743384.1743476>. <inria-00548628v2>
  • Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid, Thomas Mensink. Apprentissage de distance pour l'annotation d'images par plus proches voisins. RFIA 2010 - Reconnaissance des Formes et Intelligence Artificielle, Jan 2010, Caen, France. 2010. <inria-00439309v2>
  • Thomas Mensink, Gabriela Csurka, Florent Perronnin, Jorge Sánchez, Jakob Verbeek. LEAR and XRCE's participation to Visual Concept Detection Task - ImageCLEF 2010. ImageCLEF - Workshop Cross Language Image Retrieval, Sep 2010, Padua, Italy. pp.48, 2010. <inria-00548633>
  • Josip Krapac, Moray Allan, Jakob Verbeek, Frédéric Jurie. Improving web-image search results using query-relative classifiers. CVPR 2010 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2010, San Francisco, United States. IEEE Computer Society, pp.1094-1101, 2010, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5540092>. <10.1109/CVPR.2010.5540092>. <inria-00548636>
  • Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid. Multiple instance metric learning from automatically labeled bags of faces. Kostas Daniilidis and Petros Maragos and Nikos Paragios. ECCV 2010 - European Conference on Computer Vision, Sep 2010, Heraklion, Greece. Springer-Verlag, 6311, pp.634-647, 2010, Lecture Notes in Computer Science. <http://springerlink.metapress.com/content/811413113002347n/>. <10.1007/978-3-642-15549-9_46>. <inria-00548639>
  • Thomas Mensink, Jakob Verbeek, Bert Kappen. EP for Efficient Stochastic Control with Obstacles. Helder Coelho and Rudi Studer and Michael Wooldridge. ECAI 2010 - 19th European Conference on Artificial Intelligence, Aug 2010, Lisbon, Portugal. IOS Press, pp.675-680, 2010, Frontiers in Artificial Intelligence and Applications. <http://www.booksonline.iospress.nl/Content/View.aspx?piid=17834>. <10.3233/978-1-60750-606-5-675>. <inria-00548631>
  • Thomas Mensink, Jakob Verbeek, Gabriela Csurka. Trans Media Relevance Feedback for Image Autoannotation. Frédéric Labrosse and Reyer Zwiggelaar and Yonghuai Liu and Bernie Tiddeman. BMVC 2010 - British Machine Vision Conference, Aug 2010, Aberystwyth, United Kingdom. The British Machine Vision Association (BMVA), pp.20.1-20.12, 2010, <http://www.bmva.org/bmvc/2010/conference/paper20/index.html>. <10.5244/C.24.20>. <inria-00548632>
  • Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid. Multimodal semi-supervised learning for image classification. CVPR 2010 - 23rd IEEE Conference on Computer Vision & Pattern Recognition, Jun 2010, San Francisco, United States. IEEE Computer Society, pp.902-909, 2010, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5540120>. <10.1109/CVPR.2010.5540120>. <inria-00548640>
  • Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid. TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. ICCV 2009 - 12th International Conference on Computer Vision, Sep 2009, Kyoto, Japan. IEEE Computer society, pp.309-316, 2009, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5459266>. <10.1109/ICCV.2009.5459266>. <inria-00439276>
  • Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid. Is that you? Metric learning approaches for face identification. ICCV 2009 - International Conference on Computer Vision, Sep 2009, Kyoto, Japan. IEEE, pp.498-505, 2009, <10.1109/ICCV.2009.5459197>. <inria-00439290v2>
  • Moray Allan, Jakob Verbeek. Ranking user-annotated images for multiple query terms. A. Cavallaro and S. Prince and D. Alexander. BMVC 2009 - British Machine Vision Conference, Sep 2009, London, United Kingdom. BMVA Press, pp.20.1-20.10, 2009, Proceedings of the British Machine Vision Conference. <10.5244/C.23.20>. <inria-00439278v2>
  • Hakan Cevikalp, Jakob Verbeek, Frédéric Jurie, Alexander Klaser. Semi-supervised dimensionality reduction using pairwise equivalence constraints. Alpesh Ranchordas and Helder Araújo. VISAPP '08 - 3rd International Conference on Computer Vision Theory and Applications, Jan 2008, Funchal, Portugal. INSTICC, 1, pp.489-496, 2008. <inria-00321053v2>
  • Thomas Mensink, Jakob Verbeek. Improving People Search Using Query Expansions: How Friends Help To Find People. David Forsyth and Philip Torr and Andre Zisserman. ECCV 2008 - 10th European Conference on Computer Vision, Oct 2008, Marseille, France. Springer, 5303, pp.86-99, 2008, Lecture Notes in Computer Science. <http://www.springer.com/computer/image+processing/book/978-3-540-88685-3>. <10.1007/978-3-540-88688-4_7>. <inria-00321045v2>
  • Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid. Automatic Face Naming with Caption-based Supervision. CVPR 2008 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2008, Anchorage, United States. IEEE Computer society, pp.1-8, 2008, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4587603>. <10.1109/CVPR.2008.4587603>. <inria-00321048v2>
  • Joost Van de Weijer, Cordelia Schmid, Jakob Verbeek. Using High-Level Visual Information for Color Constancy. ICCV 2007 - IEEE 11th International Conference on Computer Vision, Oct 2007, Rio de Janeiro, Brazil. IEEE Computer society, pp.1-8, 2007, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4409109>. <10.1109/ICCV.2007.4409109>. <inria-00321125v2>
  • Jakob Verbeek, William Triggs. Region Classification with Markov Field Aspect Models. CVPR 2007 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2007, Minneapolis, United States. IEEE Computer society, pp.1-8, 2007, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4270123>. <10.1109/CVPR.2007.383098>. <inria-00321129v2>
  • Joost Van de Weijer, Cordelia Schmid, Jakob Verbeek. Learning Color Names from Real-World Images. CVPR 2007 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2007, Minneapolis, United States. IEEE Computer society, pp.1-8, 2007, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4270243>. <10.1109/CVPR.2007.383218>. <inria-00321127v2>
  • Jakob Verbeek, William Triggs. Scene Segmentation with CRFs Learned from Partially Labeled Images. John C. Platt and Daphne Koller and Yoram Singer and Sam Roweis. NIPS 2007 - Advances in Neural Information Processing Systems, Dec 2007, Vancouver, Canada. MIT Press, 20, pp.1553-1560, 2008, <http://books.nips.cc/nips20.html>. <inria-00321051v2>
  • Zoran Zivkovic, Jakob Verbeek. Transformation invariant component analysis for binary images. IEEE Conference on Computer Vision & Pattern Recognition (CPRV '06), Jun 2006, New York, United States. pp.254--259, 2006, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1640767>. <10.1109/CVPR.2006.316>. <inria-00321134v2>
  • Jan Nunnink, Jakob Verbeek, Nikos Vlassis. Accelerated greedy mixture learning. Benelearn: Annual Machine Learning Conference of Belgium and the Netherlands, Jan 2004, Brussels, Belgium. 2004. <inria-00321482v2>
  • Jakob Verbeek, Sam Roweis, Nikos Vlassis. Non-linear CCA and PCA by alignment of local models. Seventeenth Annual Conference on Neural Information Processing Systems (NIPS '03), Dec 2003, Vancouver, Canada. pp.297--304, 2004. <inria-00321485v2>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. Non-linear feature extraction by the coordination of mixture models. 9th Annual Conference of the Advanced School for Computing and Imaging (ASCI '03), Jun 2003, Heijen, Netherlands. pp.287--293, 2003. <inria-00321490v2>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. Self-organization by optimizing free-energy. 11th European Symposium on Artificial Neural Networks (ESANN '03), Apr 2003, Bruges, Belgium. pp.125-130, 2003. <inria-00321491v2>
  • Josep Porta, Jakob Verbeek, Ben Krose. Enhancing appearance-based robot localization using sparse disparity maps. IEEE/RSJ International Conference on Intelligent Robots & Systems (IROS '03), Oct 2003, Las Vegas, United States. IEEE Computer society, 1, pp.980 - 985, 2003, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1250755>. <10.1109/IROS.2003.1250755>. <inria-00321488v2>
  • Jakob Verbeek, Nikos Vlassis, Jan Nunnink. A variational EM algorithm for large-scale mixture modeling. S. Vassiliades and L.M.J. Florack and J.W.J. Heijnsdijk and A. van der Steen. 9th Annual Conference of the Advanced School for Computing and Imaging (ASCI '03), Jun 2003, Heijen, Netherlands. pp.136--143, 2003. <inria-00321486v2>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. Fast nonlinear dimensionality reduction with topology preserving networks. Michel Verleysen. 10th Eurorean Symposium on Artificial Neural Networks (ESANN '02), Apr 2002, Bruges, Belgium. 2002. <inria-00321500>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. Coordinating principal component analyzers. José R. Dorronsoro. International Conference on Artificial Neural Networks (ICANN '02), Aug 2002, Madrid, Spain. Springer, 2415, 2002, Lecture Notes in Computer Science (LNCS); Artificial Neural Networks. <http://www.springerlink.com/content/rdgmchfwhgefpu00/>. <10.1007/3-540-46084-5_148>. <inria-00321498>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. Locally linear generative topographic mapping. Benelearn: Annual Machine Learning Conference of Belgium and the Netherlands, Dec 2002, Utrecht, Netherlands. pp.79--86, 2002. <inria-00321501>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. Greedy Gaussian mixture learning for texture segmentation. A. Leonardis and H. Bischof. ICANN Workshop on Kernel and Subspace Methods for Computer Vision, Aug 2001, Wien, Austria. pp.37--46, 2001. <inria-00321513>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. A soft k-segments algorithm for principal curves. Georg Dorffner and Horst Bischof and Kurt Hornik. International Conference on Artificial Neural Networks, Aug 2001, Vienna, Austria. Springer, 2130, pp.450-456, 2001, Lecture Notes in Computer Science (LNCS). <http://www.springerlink.com/content/jtapdufpfhrh92xh/>. <10.1007/3-540-44668-0_63>. <inria-00321506>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. Efficient greedy learning of Gaussian mixtures. The 13th Belgian-Dutch Conference on Artificial Intelligence (BNAIC'01), Oct 2001, Amsterdam, Netherlands. pp.251--258, 2001. <inria-00321510>
  • Jakob Verbeek. Supervised feature extraction for text categorization. A.J. Feelders. Tenth Belgian-Dutch Conference on Machine Learning (Benelearn '00), Dec 2000, Tilburg, Netherlands. 2000. <inria-00321520>
  • Jakob Verbeek. Using a sample-dependent coding scheme for two-part MDL. Machine Learning & Applications (ACAI '99), Jul 1999, Chania, Greece. 1999. <inria-00321522>

Article dans une revue19 documents

Rapport15 documents

  • Jorge Sanchez, Florent Perronnin, Thomas Mensink, Jakob Verbeek. Image Classification with the Fisher Vector: Theory and Practice. [Research Report] RR-8209, INRIA. 2013. <hal-00779493v3>
  • Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka. Large Scale Metric Learning for Distance-Based Image Classification. [Research Report] RR-8077, INRIA. 2012, pp.30. <hal-00735908>
  • Josip Krapac, Jakob Verbeek, Frédéric Jurie. Spatial Fisher Vectors for Image Categorization. [Research Report] RR-7680, INRIA. 2011. <inria-00613572>
  • Oksana Yakhnenko, Jakob Verbeek, Cordelia Schmid. Region-Based Image Classification with a Latent SVM Model. [Research Report] RR-7665, INRIA. 2011. <inria-00605344>
  • Thomas Mensink, Jakob Verbeek, Gabriela Csurka. Weighted Transmedia Relevance Feedback for Image Retrieval and Auto-annotation. [Technical Report] RT-0415, INRIA. 2011. <hal-00645608>
  • Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid. Face recognition from caption-based supervision. [Technical Report] RT-392, INRIA. 2010, pp.37. <inria-00522185v2>
  • Diane Larlus, Jakob Verbeek, Frédéric Jurie. Category level object segmentation by combining bag-of-words models and Markov Random Fields. [Research Report] RR-6668, INRIA. 2008, pp.31. <inria-00333121v2>
  • Jakob Verbeek, Nikos Vlassis. Semi-supervised learning with Gaussian fields. [Technical Report] IAS-UVA-05, 2005, pp.20. <inria-00321480v2>
  • Jakob Verbeek. Rodent behavior annotation from video. [Technical Report] IAS-UVA-05-02, University of Amsterdam. 2005, pp.18. <inria-00548500>
  • Nikos Vlassis, Jakob Verbeek. Gaussian mixture learning from noisy data. [Technical Report] IAS-UVA-04, 2004, pp.6. <inria-00321483v2>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. Procrustes analysis to coordinate mixtures of probabilistic principal component analyzers. [Technical Report] IAS-UVA-02, 2002, pp.18. <inria-00321503>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. The generative self-organizing map: a probabilistic generalization of Kohonen's SOM. [Technical Report] IAS-UVA-02-03, 2002. <inria-00321505>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. Efficient greedy learning of Gaussian mixtures. [Technical Report] IAS-UVA-01-10, 2001, pp.22. <inria-00321507>
  • Aristidis Likas, Nikos Vlassis, Jakob Verbeek. The global k-means clustering algorithm. [Technical Report] IAS-UVA-01-02, 2001, pp.12. <inria-00321515>
  • Jakob Verbeek, Nikos Vlassis, Ben Krose. A k-segments algorithm for finding principal curves. [Technical Report] IAS-UVA-00-11, 2000, pp.12. <inria-00321517>

Mémoire d'étudiant2 documents

  • Jakob Verbeek. An information theoretic approach to finding word groups for text classification. Machine Learning [cs.LG]. 2000. <inria-00321519>
  • Jakob Verbeek. Overfitting using the MDL principle. Machine Learning [cs.LG]. 1998. <inria-00321524>

Pré-publication, Document de travail2 documents

  • Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy Hospedales, Jakob Verbeek. Frankenstein: Learning Deep Face Representations using Small Data. 2016. <hal-01306168>
  • Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek. Areas of Attention for Image Captioning. 2016. <hal-01428963>

HDR1 document

  • Jakob Verbeek. Machine learning solutions to visual recognition problems. Computer Vision and Pattern Recognition [cs.CV]. Grenoble 1 UGA - Université Grenoble Alpes, 2016. <tel-01343391>

Autre publication4 documents

  • Matthijs Douze, Dan Oneata, Mattis Paulin, Clément Leray, Nicolas Chesneau, et al.. The INRIA-LIM-VocR and AXES submissions to Trecvid 2014 Multimedia Event Detection. 2014. <hal-01089916v2>
  • Dan Oneata, Jakob Verbeek, Cordelia Schmid. The LEAR submission at Thumos 2014. 2014. <hal-01074442>
  • Robin Aly, Relja Arandjelovic, Ken Chatfield, Matthijs Douze, Basura Fernando, et al.. The AXES submissions at TrecVid 2013. TRECVID Workshop, Gaithersburg, United States. 2013. <hal-00904404v2>
  • Matthijs Douze, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid, Jakob Verbeek. INRIA-LEARs participation to ImageCLEF 2009. Working Notes for the CLEF 2009 Workshop Editors: F. Borri, A. Nardi, C. Peters. 2009. <inria-00439299v2>

Thèse1 document

  • Jakob Verbeek. Mixture models for clustering and dimension reduction. Computer Science [cs]. Universiteit van Amsterdam, 2004. English. <tel-00321484v2>

Chapitre d'ouvrage2 documents

  • Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka. Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets. Farinella, Giovanni Maria and Battiato, Sebastiano and Cipolla, Roberto. Advanced Topics in Computer Vision, Springer, pp.243-276, 2013, 978-1-4471-5519-5. <10.1007/978-1-4471-5520-1_9>. <hal-00949416>
  • Robert Benavente, Joost Van de Weijer, Maria Vanrell, Cordelia Schmid, Ramon Baldrich, et al.. Color Names. Theo Gevers and Arjan Gijsenij and Joost van de Weijer and Jan-Mark Geusebroek. Color in Computer Vision, Wiley, pp.11-43, 2012, The Wiley-IS&T Series in Imaging Science and Technology, 978-0-470-89084-4. <hal-00640930>

Document associé à des manifestations scientifiques1 document

  • Dan Oneata, Matthijs Douze, Jérôme Revaud, Schwenninger Jochen, Danila Potapov, et al.. AXES at TRECVid 2012: KIS, INS, and MED. TRECVID Workshop, Sep 2012, Gaithersburg, United States. <hal-00746874v2>