2011/09/10 by Kunal N. Chaudhury, Chaudhury, Kunal Narayan
Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Image and Signal Denoising Methods #Information Theory (cs.IT) #Probability (math.PR) #Statistical and numerical algorithms
paper · pdf · doi:10.48550/arxiv.1109.2227
openalex publication_date 2011/09/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this note, we give a probabilistic interpretation of the Central Limit Theorem used for approximating isotropic Gaussians in [1].