PPT-Mallat F, Hmida W , Hidoussi
Author : joy | Published Date : 2022-05-18
A Tlili G Slama A Jaidane M Ben Sorba N Mosbah AF Ben Abdallah A Mama N Department of urology and radiology CHU Sahloul Sousse Tunisia Mechanical
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Mallat F, Hmida W , Hidoussi: Transcript
A Tlili G Slama A Jaidane M Ben Sorba N Mosbah AF Ben Abdallah A Mama N Department of urology and radiology CHU Sahloul Sousse Tunisia Mechanical bowel obstruction post radical cystectomy CTsurgical correlation . It cascades wavelet transform convolutions with nonlinear modulus and averaging operators The first network layer outputs SIFTtype descriptors whereas the next layers provide complementary invariant information that improves classification The mathe It cascades wavelet trans form convolutions with nonlinear modulus and averaging op erators The 64257rst network layer outputs SIFTtype descriptors whereas t he next layers provide complementary invariant information which improv es classi64257ca ti Thispaperintroducesacombinedscatteringrepresentation for texture classi64257cation which is invariant to rotations and stable to de formations A combined scattering is computed with two nested cascades of wavelet transforms and complex modulus along polytechniquefr St ephane Mallat CMAP Ecole Polytechnique 91128 Palaiseau ABSTRACT Melfrequency cepstral coef64257cients MFCCs are ef64257cient audio descriptors providing spectral energy measurements over short time windows of length 23 ms These me and its discrete version is explained in Section VI-B. Fast 2- By definition, the functions r/?(x) and G(Z) can be consid- D wavelet algorithms are given in Appendix D. Section VII ered to be wavelets
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