Francesco Orabona


Publications

Machine learning
  • F. Orabona, and K. Crammer. New Adaptive Algorithms for Online Classification. Accepted in Neural Information Processing Systems  (NIPS).
  • L. Jie, and F. Orabona. Learning from Candidate Labeling Sets. Accepted in Neural Information Processing Systems  (NIPS).
  • F. Orabona, L. Jie, and B. Caputo. Online-Batch Strongly Convex Multi Kernel Learning. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, June 2010 [PDF] [Version with proofs] [CODE] [TALK]
  • T. Tommasi, F. Orabona, and B. Caputo. Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, June 2010 [PDF] [CODE]
  • L. Jie, F. Orabona, M. Fornoni, B. Caputo, and N. Cesa-Bianchi. OM-2: An Online Multi-class Multi-kernel Learning Algorithm. In Proc. of the 4th IEEE Online Learning for Computer Vision Workshop (in CVPR10), San Francisco, CA, June 2010 [PDF] [CODE]
  • F. Orabona, C. Castellini, B. Caputo, L. Jie, and G. Sandini. On-line Independent Support Vector Machines. Pattern Recognition, 43(4), 1402-1412, 2010 [PDF] [CODE]
  • F. Orabona, J. Keshet, and B. Caputo. Bounded Kernel-Based Online Learning. Journal of Machine Learning Research, 10(Nov):2643-2666, 2009 [PDF] [CODE]
  • N. Cesa-Bianchi, C. Gentile and F. Orabona. Robust Bounds for Classification via Selective Sampling. In Proc. of the International Conference on Machine Learning (ICML), Montreal, Quebec, June 2009 [PDF] [TALK]
  • F. Orabona, C. Castellini, B. Caputo, A. E. Fiorilla, and G. Sandini. Model adaptation with least-squares SVM for adaptive hand prosthetics. In Proc. of the International Conference on Robotics and Automation (ICRA), Kobe, Japan, May 2009 [PDF]
  • F. Orabona, J. Keshet, and B. Caputo. The Projectron: a bounded kernel-based Perceptron. In Proc. of the International Conference on Machine Learning (ICML), Helsinki, Finland, July 2008 [PDF] [CODE] [TALK]
  • F. Orabona, C. Castellini, B. Caputo, J. Luo, and G. Sandini. Indoor place recognition using online independent support vector machines. In Proc. of the British Machine Vision Conference (BMVC), pages 1090–1099, University of Warwick, UK, September 2007 [PDF] [CODE]


Computer Vision
  • E. Grossmann, J. A. Gaspar, and F. Orabona. Discrete camera calibration from pixel streams. Computer Vision and Image Understanding, special issue on Omnidirectional Vision, Camera Networks and Non-conventional Cameras, 114(2), 198-209, 2010 [PDF]
  • T. Tommasi, F. Orabona, and B. Caputo. An SVM confidence-based approach to medical image annotation. In Evaluating Systems for Multi- lingual and Multimodal Information Access, volume 5706 of Lecture Notes in Computer Science, 696-703, 2009 (Winner of the Medical automatic annotation task of ImageCLEF 2008)
  • L. Jie, F. Orabona, and B. Caputo. An online framework for learning novel concepts over multiple cues. In Proc. of the Asian Conference on Computer Vision (ACCV), 2009, Xi'an, China [PDF] [CODE]
  • T. Tommasi, F. Orabona, and B. Caputo. Discriminative cue integration for medical image annotation. Pattern Recognition Letters, 19(15):1996–2002, 2008
  • E. Grossmann, J. A. Gaspar, and F. Orabona. Calibration from statistical properties of the visual world. In Proc. of the European Conference on Computer Vision (ECCV), Marseille, France, October 2008 [PDF]
  • T. Tommasi, F. Orabona, and B. Caputo. Cue integration for medical image annotation. In Advances in Multilingual and Multimodal Information Retrieval, volume 5152 of Lecture Notes in Computer Science, pages 577-584, 2008 (Winner of the Medical automatic annotation task of ImageCLEF 2007)
  • J. Anemueller, J.-H. Bach, B. Caputo, L. Jie, F. Ohl, F. Orabona, R. Vogel, D. Weinshall, and A. Zweig. Biologically motivated audio-visual cue integration for object categorization. In Proc. of the International Conference on Cognitive Systems (ICCS), University of Karlsruhe, Germany, April 2008
  • E. Grossmann, F. Orabona, and J. Gaspar. Discrete camera calibration from the information distance between pixel streams. In Proc. of the 7th Workshop on Omnidirectional Vision (in ICCV07), pages 1-8, Rio de Janeiro, Brazil, October 2007 [PDF]
  • F. Orabona, G. Metta, and G. Sandini. A proto-object based visual attention model. In L. Paletta and E. Rome, editors, Attention in Cognitive Systems, volume 4840 of Lecture Notes in Artificial Intelligence, pages 198-215, 2007 [PDF]
  • M. Vurro, G. Baselli, F. Orabona, and G. Sandini. Simulation and assessment of bioinspired visual processing system for epi-retinal prostheses. In Proc. of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York City, USA, September 2006 
  • F. Orabona, G. Metta, and G. Sandini. Learning association fields from natural images. In Proc. of the 5th Workshop on Perceptual Organization in Computer Vision (in CVPR06), Washington, DC, USA, June 2006. IEEE Computer Society [PDF]
  • F. Orabona, G. Metta, and G. Sandini. Object-based visual attention: a model for a behaving robot. In Proc. of the 3rd International Workshop on Attention and Performance in Computer Vision (WAPCV) (in CVPR05), Washington, DC, USA, June 2005. IEEE Computer Society ("Best paper" award) [PDF]


Robotics/Cognitive Systems
  • M. M. Ullah, F. Orabona, B. Caputo. You Live, You Learn, You Forget: Continuous Learning of Visual Places with a Forgetting Mechanism. In Proc. of the IEEE/RSJ International Conference on Intelligent RObots and Systems (IROS), October 2009
  • F. Orabona, B. Caputo, A. Fillbrandt, and F. W. Ohl. A Theoretical Framework for Transfer of Knowledge Across Modalities in Artificial and Biological Systems. In Proc. of the 8th International Conference on Development and Learning (ICDL), June 2009
  • C. Castellini, F. Orabona, G. Metta, and G. Sandini. Internal models of reaching and grasping. Advanced Robotics, 21(13):1545–1564, 2007 [PDF]
  • L. Natale, F. Orabona, G. Metta, and G. Sandini. Sensorimotor coordination in a “baby” robot: learning about objects through grasping. In C. von Hofsten and K. Rosander, editors, Progress in Brain Research, From Action to Cognition, volume 164. Elsevier, 2007
  • A. Pasquali, C. Castellini, V. Gaillard, F. Orabona, G. Metta, and A. Cleeremans. Developmental learning in non-markovian processes: premises of a biologically plausible cognitive architecture. In 11th Annual Meeting of the Association for the Scientific Study of Consciousness, 2007 (only abstract)
  • L. Natale, F. Orabona, F. Berton, G. Metta, and G. Sandini. From sensorimotor development to object perception. In Proc. of the 5th IEEE-RAS International Conference on Humanoid Robots, December 2005 [PDF]
  • L. Natale, F. Orabona, G. Metta, and G. Sandini. Exploring the world through grasping: a developmental approach. In Proc. of the 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), June 2005 [PDF]