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Moment invariants of 3D point distributions may be computed that are ST(scale and translation) invariant, in the same way as 2D moment invariants. Hahn moment is a discrete orthogonal moment which can be a useful set of image feature descriptor. Their higher order moments have better image representation power as compared to legendre and Zernike moments. Hahn moments can be utilized to adaptively...
This paper describes a method for the detection of heart sounds S1 and S2 using Back-Propagation Algorithm (BPA). The proposed method works satisfactorily on the heart sounds with murmur or noisy data. The work can be divided into four main parts: (i) localization by optimized S-transform, (ii) boundary detection of heart sounds S1 and S2 based on Shannon energy of S-transform, (iii) feature extraction...
Support Vector Machine (SVM) has been very popular for use in machine fault diagnosis as classifier. In most of the complex machine learning problems, the main challenge lies in finding good features. Sparse autoencoders have the ability to learn good features from the input data in an unsuperivised fashion. Sparse auto-encoders and other deep architectures are already showing very good results in...
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