Feb 10, 2010 · Abstract—In this paper, we derive an explicit form of the convo- lution theorem for functions on an -sphere. Our motivation comes.

Sep 29, 2009 · In this paper, we derive an explicit form of the convolution theorem for functions on an $n$ -sphere. Our motivation comes from the design ...

In this paper, we derive an explicit form of the convolution theorem for functions on an $n$ -sphere. Our motivation comes from the design of a probability ...

An explicit form of the convolution theorem for functions on an n-sphere is derived from the design of a probability density estimator for n-dimensional ...

In this paper, we derive an explicit form of the convolution theorem for functions on an n-sphere. Our motivation comes from the design of a probability ...

In this paper, we derive an explicit form of the convolution theorem for functions on an -sphere. Our motivation comes from the design of a probability ...

, Convolution on the $n$-Sphere With Application to PDF Modeling. ; Dokmanic, I; Petrinovic, D ;. , ISSN: 1053-587X , 1941-0476; DOI: 10.1109/TSP.2009.2033329 ...

Convolutional neural networks are increasingly used outside the domain of image analysis, in particular in various areas of the natural sciences concerned ...

To address the unique problems of convolution on spherical images, several methods have been proposed. Su and Grauman [13] train a CNN to transfer center-.

We propose fast, exact and efficient algorithms for the convolution of two arbitrary functions on the sphere which speed up computations by a factor ...