The Annals of Probability, Vol. 1, No. 6 (Dec., 1973), pp. 968-981 (14 pages) This paper is mainly a survey of results on the problem of finding necessary and sufficient conditions for a Gaussian ...

Abstract: Probabilistic machine learning models are distinguished by their ability to integrate prior knowledge of noise statistics, smoothness parameters, and training data uncertainty. A common ...

Fourier-Transform-Image-Processing ├── input_images/ ├── result/ ├── fft_result/ # Visualizations of FFT and Filtering ├── ft_compression/ # Compressed image results using FT ├── ft_noise_removal/ # ...

Abstract: The definition of the higher-order statistics associated with the fractional Fourier transform is presented in this paper. The proposed fractional higher-order statistics for order greater ...

Metal artifacts, caused by high-density metallic implants in computed tomography (CT) imaging, severely degrade image quality, complicating diagnosis and treatment planning. While existing deep ...

Over at Quanta Magazine [Shalma Wegsman] asks What Is the Fourier Transform? [Shalma] begins by telling you a little about Joseph Fourier, the French mathematician with an interest in heat propagation ...

Your Artstor image groups were copied to Workspace. The Artstor website will be retired on Aug 1st. Publications of the Astronomical Society... Publications of the Astronomical Society of the Pacific ...

A spectral representation-based simulation methodology is proposed to generate sample functions of a multi-variate, multi-dimensional, non-Gaussian stochastic vector field, according to a prescribed ...