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🌐 #معرفی سخنرانان کارگاه بین‌المللی تخصصی توابع پایه شعاعی

❇️ سخنران : Stefano De Marchi

✴️ موضوع سخنرانی :

Variably Scaled Discontinuous Kernels

💠 #چکیده :

We address the problem of approximating functions with discontinuities via kernel-based method. Firstly we show how to construct discontinuous kernel-based basis functions (VSDK). The linear spaces spanned by these discontinuous kernels lead to a very flexible tool which often reduces the well-known Gibbs phenomenon in reconstructing functions with jumps. We show how to characterize the native space spanned by these kernel functions and study error bounds in terms of the fill distance of the node set. To extract the location of the discontinuities, we propose a segmentation method based on a classification algorithm from machine learning. Moreover we show that these discontinuous kernels, applied to the reconstruction of images from Magnetic particle imaging (MPI), are very effective. MPI is a recent non invasive tomographic technique that detects super-paramagnetic nanoparticle tracers and finds applications in diagnostic imaging and material science.

📝 ثبت نام (رایگان) از طریق لینک زیر:
https://wecademy.ir/radial-basis/

📢کانال تلگرام :
@WeCademy

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