Other Machine Learning Projects
Other Image Processing Projects
Personal Information Navigator Adapting Through Viewing (PinView)
The EU funded framework 7 research project entitled ‘Personal Information Navigator Adapting Through Viewing (PinView)' aims to develop new principles, methods, and prototypes for the next generation of interfaces to data; which will specifically include the use of eye-tracking equipment on computer monitors. The project will develop a variety of methods for dealing with implicit feedback from eye movement data and exploring the development of on-line and feature extraction algorithms for ranking search results. Type: Normal Research Project Partners
Funding
Principal Investigators
Other InvestigatorsAssociated PublicationsNumber of items: 12. de Campos, T., Csurka, G., Perronnin, F., Hussain, Z., Shawe-Taylor, J., Pasupa, K., Saunders, C., Ali, H., Antenreiter, M., Ortner, R., Auer, P., Viitaniemi, V. and Laaksonen, J. (2009) Description, analysis and evaluation of confidence estimation procedures for sub-categorisation. Technical Report D6.2.1, Xerox Research Centre Europe, PinView. de Campos, T., Csurka, G., Perronnin, F., McAuley, J., Antenreiter, M., Ortner, R., Auer, P., Viitaniemi, V., Laaksonen, J., Pasupa, K., Saunders, C., Hussain, Z. and Shawe-Taylor, J. (2009) Description and evaluation of techniques for transfer learning across sub-categories. Technical Report D6.3, Xerox Research Centre Europe, PinView. Klami, A., Kaski, S., Pasupa, K., Szedmak, S., Gunn, S., Hardoon, D. and Csurka, G. (2009) Predicting relevance of parts of an image. Technical Report D2.2, Teknillinen Korkeakoulu, PinView. Markovsky, I. (2009) Algorithms and literate programs for weighted low-rank approximation with missing data. Technical Report 18296, ECS, Univ. of Southampton. (Submitted) Markovsky, I. (2009) Matrix centering and low-rank approximation. Technical Report 17224, ECS, University of Southampton. (Unpublished) Markovsky, I. and Mahmoodi, S. (2009) Least squares contour alignment. IEEE Signal Processing Letters, 16 (1). pp. 41-44. ISSN 1070-9908 Pasupa, K., Klami, A., Saunders, C., de Campos, T. and Kaski, S. (2009) Can relevance of images be inferred from eye movements? In: 15th European Conference on Eye Movements (ECEM'2009), 23-27 August 2009, Southampton, UK. p. 50. Pasupa, K., Saunders, C., Szedmak, S., Gunn, S., Hardoon, D., Klami, A., Kaski, S., Leung, A. and Auer, P. (2009) Ranking algorithms for implicit feedback. Technical Report D5.1, University of Southampton, PinView. Pasupa, K., Saunders, C., Szedmak, S., Klami, A., Kaski, S. and Gunn, S. (2009) Learning to Rank Images from Eye Movements. In: Proceeding of 2009 IEEE 12th International Conference on Computer Vision (ICCV'2009) Workshop on Human-Computer Interaction (HCI'2009), 27 September - 4 October 2009, Kyoto, Japan. pp. 2009-2016. Pasupa, K., Szedmak, S. and Hardoon, D. (2009) Image Ranking with Eye Movements. In: Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS'2009) Workshop on Advance in Rankings, 11 December 2009, Whistler, Canada. pp. 37-42. Hussain, Z., Shawe-Taylor, J., Saunders, C. and Pasupa, K. (2008) Basic metric learning. Technical Report D3.1, University College London, PinView. Klami, A., Kaski, S., Pasupa, K., Saunders, C. and de Campos, T. (2008) Prediction of relevance of an image from a scan pattern. Technical Report D2.1, Teknillinen korkeakoulu, PinView. Publications included from http://eprints.ecs.soton.ac.uk/view/projects/470.include. |