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8 Aug 2005: 6] M. A. Fischler and R. C. Bolles. Random sample consen-sus: A paradigm for model fitting with applications to imageanalysis and automated cartography.IEEE Transactions onComputers, 24(6):381–395,

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11 Nov 2005: 1994). Dynamic be-lief networks for discrete monitoring. IEEETransactions on Systems, Man, and Cybernet-ics, 24(11):1593{1610.

11 Jul 2005: 18] N. Vlassis and A Likas. A kurtosis-based dynamic approach to Gaussian mixture modeling.Systems, Max, and Cybernetics – Part A: Systems and Humans, 24(9):393–399, 1999.

9 Aug 2005: Scientific writing 154,755 7.24 589.71 649.38. Fiction 239,927 7.10 657.40 711.87.

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9 Aug 2005: Berman. Rapid calibration for 3-D free-hand ultrasound. Ultrasound in Medicine and Biology, 24(6):855–869, July 1998. ... Ultrasound in Medicine and Biology, 24(6):841–854, July 1998. R. N. Rohling, A.

16 Mar 2005: H. Berman. Engineering a freehand 3Dultrasound system. Pattern Recognition Letters, 24(4–5):757–777, 2003. ... Ultrasoundin Medicine and Biology, 24(9):1243–1270, 1998. [22] R. W. Prager, A.

9 Aug 2005: 24 11.5 4.27.

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9 Aug 2005: International Journal of Computer Vision,24(3):271–300, 1997. [11] Z. Zhang, R. Deriche, O.

9 Aug 2005: 4$?,. 3. , , I I I. , , , , , ,. G 3z zfAf. @444G. RNN. RNN. 24. 168168. RNN. 1x4x3. x2. ... 24. z&23B%$?,.R VC3/%38?,4$?¢=%$?,(3&f8&2C3/! @C (,6PvPQ&2/% C3$y"%B0&QP (3&/%<,6P2, f8?$'&'?&289F(% 86 %. />( $?,$?,5'= , f8&213,6P29

9 Aug 2005: t=20. t=22. t=24. t=26t=28Probabilistic. Space Carving. Error (RGB distance). Per. cent.

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9 Aug 2005: The difference between WER in punctuation generation and that in capitalisation gen-eration is 0.24. ... These numbers constitute 24.15. of total errors. A word which has a capitalisation type error in Group 3 is observed frequently enough withits NE

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8 Aug 2005: 32.5MSM 24 38.9.

9 Aug 2005: relative speed with word-pair grammar. without transitions probabilitieswith transitions probabilities. 24.5.

9 Aug 2005: 24. 4.4 Empirical results. 25. 4.4.1 A wrapper with an accuracy based objective. ... Metrics based on the mutualinformation (see Cover and Thomas[24]) between the features and the target class labels havebeen developed by Battiti[9] and Bonnlander[13].

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