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For image segmentation, methods based on Markov random field (MRF) have been widely used due to the capability of incorporating contextual information into account. Among these methods, the recently proposed Triplet Markov fields (TMF) model enhances the image nonstationary modeling by introducing an auxiliary field. According to the introduced auxiliary field, TMF can partition the nonstationary...
Kernel methods with specifically designed kernel function are suitable for dealing with practical nonlinear problems. However, kernel methods have found limited applications to synthetic aperture radar (SAR) image change detection in that their performances are affected by the inherent multiplicative speckle noise of SAR images. It is known that the spatial-contextual information is helpful in suppressing...
Many recent studies describe micromanipulation systems by using complex Analytic Forward Models (AFM), but such models are difficult to build and incapable of describing unmodelable factors, such as manufacturing defects. In this work, we propose the Enhanced Analytic Forward Model (EAFM), an integrated model of the AFM and the Heteroscedastic Gaussian Processes (HGP). The EAFM can compensate the...
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