Abstract: . . .  segmentation IEEE Workshop on Intelligent Signal Processing 2003, p 105-109, 4-6 sept.2003 [7] H.Rix, and J.P. Malenge, Detecting small variations in shape, IEEE Trans , Pattern Anal. Mach. Intell, 13, pp. 252-264, 1980. [8] R.Lepage, J.M. Boucher, J.J Blanc, J.C Cornily " ECG segmentation and P-wave feature extraction: application to patients prone to atrial fibrillation , 23 Annual. Intern Conf of IEEE Medecine and Biology Society . Istanbul, vol 1, pp. 298-302, 2001. [9] D. Lemire, C. Pharand, J.C. Rajaonah, B.Dube and A.R. Leblanc, Wavelet time entropy, T-wave morphology and myocardial ischemia, IEEE Trans. Biomed.Eng , 47, pp. 967-970, 2000. [10] V.Vapnik, 1995, The nature of statistical . . .
. . .  fibrillation , 23 Annual. Intern Conf of IEEE Medecine and Biology Society . Istanbul, vol 1, pp. 298-302, 2001. [9] D. Lemire, C. Pharand, J.C. Rajaonah, B.Dube and A.R. Leblanc, Wavelet time entropy, T-wave morphology and myocardial ischemia, IEEE Trans. Biomed.Eng , 47, pp. 967-970, 2000. [10] V.Vapnik, 1995, The nature of statistical learning theory , NY : Springer-Verlag,  . . .
. . .  fibrillation , 23 Annual. Intern Conf of IEEE Medecine and Biology Society . Istanbul, vol 1, pp. 298-302, 2001. [9] D. Lemire, C. Pharand, J.C. Rajaonah, B.Dube and A.R. Leblanc, Wavelet time entropy, T-wave morphology and myocardial ischemia, IEEE Trans. Biomed.Eng , 47, pp. 967-970, 2000. [10] V.Vapnik, 1995, The nature of statistical learning theory , NY : Springer-Verlag,  . . .
. . .  ,..., 1 , 0 : . , 2 1 max 1 i , 1 l i i i l j i j i j i j i l i i y et l i C cs x x y y And the new hard classifier is: ( ) [ ] ( ) + = + = = * 1 * * * , sgn , sgn b x x K y b x w x f l i i i i In practice, it remains to determine . . .
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