Titlebook: Highlights of Pediatric Radiology; 22nd Post-Graduate C J. Bar-Ziv,G. Horev,G. Kalifa Conference proceedings 1999 Springer-Verlag Italia, M

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B. Newman solutions partially solve this problem, the complexity of the algorithms proposed only serve to limit these solutions for real time purposes or general kind of motion types considered. So, we propose more simple, less general approaches but with a low computational cost. In this case the human mode

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M. Katz,E. Konen using Euclidean classifier. An Equal Error Rate (EER) of 0.0217 and Genuine Acceptance Rate (GAR) of 97.12% with combined feature vector formed by Bior3.9, Sym8 and Dmeyer wavelets depict better performance over individual wavelet transforms and combination of coiflet, Daubechies and Mexican hat wa

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H. G. Ringertz,M. Lidegranor. Typically, the human operator corrects the model estimates several times during the first few seconds, but the corrections rate decreases as time goes by. Experimental results are presented in the paper to illustrate the performance of the proposed tracking system.

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