By Richard Barker (auth.), David S. Bowers (eds.)
This quantity constitutes the court cases of the twelfth British nationwide convention on Databases (BNCOD-12), held at Surrey, Guildford in July 1994. The BNCOD meetings are inspiration as a platform for trade among theoreticians and practitioners, the place researchers from academia and meet execs attracted to complex database functions. The thirteen refereed papers offered within the court cases have been chosen from forty seven submissions; they're geared up in chapters on temporal databases, formal ways, parallel databases, object-oriented databases, and disbursed databases. furthermore there are invited displays: "Managing open structures now that the "Glashouse" has long past" through R. Baker and "Knowledge reuse via networks of huge KBs" by means of P.M.D. Gray.
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Additional resources for Directions in Databases: 12th British National Conference on Databases, BNCOD 12 Guildford, United Kingdom, July 6–8, 1994 Proceedings
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Although the error is reduced significantly by adapting a writer-independent system, the recognition accuracy of a real writer-dependent system, which is trained by about 2000 words of one single writer, is much higher. In this case a recognition rate of about 95% in average (4 writers) is obtained using a 30k dictionary (compare also [11]). A further question is the use of confidence measures to improve the quality of the adaptation data in the unsupervised mode. One possibility to estimate the confidence score is the evaluation of a n-best recognition.
For the construction of rotation and translation invariant grey scale features we have to integrate over the 2D Euclidean transformation group: 1 A[f ](M) = 2πN M W H 2π f (g(tx , ty , ϕ)M) dϕ dtx dty , (2) tx =0 ty =0 ϕ=0 where {tx , ty , ϕ} denote the transformation parameter. Because of the discrete image grid in practice the integrals are replaced by sums, choosing only integer translations and varying the angle in discrete steps applying bilinear interpolation for pixels that do not coincide with the image grid.
Faber, and P. Faber, editors, Mustererkennung, DAGM 1999, Informatik aktuell, pages 181–188, Bonn, September 1999. 13. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Contentbased image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12):1349–1380, December 2000. 14. J. R. -F. Chang. Local color and texture extraction and spatial query. In Proceedings of the 1996 IEEE International Conference on Image Processing (ICIP’96), volume III, pages 1011–1014, Lausanne, Switzerland, September 1996.