For Two-dimensional Linear Splines S

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(1) 1 we obtained analytical expressions for the kernel (22) and cross-kernel (23). We have used these kernels for solving the corresponding regression problem and reconstructing images based on data that is similar to what one might get from a Positron Emission Tomography scan Shepp, Vardi & Kaufman, 1985]. A remarkable feature of this solution is that it avoids a pixel representation of the function which would require the estimation of 10,000 to 60,000 parameters. The spline approximation shown here required only 172 SVs.

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تاریخ انتشار 1996