By Pinakpani Pal
This quantity includes the most recent within the sequence of ICAPR complaints at the cutting-edge of alternative features of trend popularity. those meetings have already carved out a distinct place between occasions attended by way of the development attractiveness neighborhood. The contributions take on open difficulties within the vintage fields of photograph and video processing, record research and multimedia item retrieval in addition to extra complicated issues in biometrics speech and sign research. the various papers concentration either on thought and alertness pushed easy learn development reputation.
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Additional info for Advances in Pattern Recognition: Proceedings of the Sixth International Conference, Indian Statistical Institute, Kolkata, India 2-4 January 2007
Noticeably, both types of developments still remain quite disjoint and very few approaches try to use the abstract formalizations to guide image in- terpretation. The main reason is to be found in the so called "semantic gap", expressing the difficulty to link abstract concepts with image features. This problem is also related to the symbol grounding problem. In this paper we highlight a few features of the semantic gap problem in image interpretation. We show that semantic image interpretation can be seen as a symbol grounding problem in Section 2.
21. Luo, B. R. (2001). Structural Matching using the EM algorithm and singular value decomposition. IEEE Trans. PAMI, 23, 1120-1136. 22. Walker, G. (2000). Robust, non-parametric and automatic methods for matching spatial point patterns. PhD thesis, University of Leeds. 23. Kent, J. , Mardia, K. V. & Taylor, C. C. (2004). Matching problems for unlabelled configurations. In Bioinformatics, Images and Wavelets, Proceedings of LASR 2004, Ed. R. G. Aykroyd, S. Barber & K. V. Mardia, pp. 33-6. Leeds: Leeds University Press.
Wang, A family of extended fuzzy description logics, in 29th Annual International Computer Software and Applications Conference (COMPSAC'05), (IEEE Computer Society, Los Alamitos, CA, USA, 2005). G. Stoilos, G. Stamou and J. Pan, Handling imprecise knowledge with fuzzy description logic, in International Workshop on Description Logics (DL 06), (Lake District, UK, 2006). U. Straccia, Description logics with fuzzy concrete domains, in 21st Conference on Uncertainty in Artificial Intelligence (UAI-05), eds.
Advances in Pattern Recognition: Proceedings of the Sixth International Conference, Indian Statistical Institute, Kolkata, India 2-4 January 2007 by Pinakpani Pal