We describe a generative model of the relationship between two images. The model is deļ¬ned as a factored threeway Boltzmann machine, in which hidden variables collaborate to deļ...
Joshua Susskind, Roland Memisevic, Geoffrey Hinton...
We present a new method for reconstructing the density function underlying a given histogram. First we analyze the univariate case taking the approximating function in a class of q...
The theoretical price of a financial option is given by the expectation of its discounted expiry time payoff. The computation of this expectation depends on the density of the val...
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for ļ¬ndin...
Consider the problem of estimating the -level set G = {x : f(x) } of an unknown d-dimensional density function f based on n independent observations X1, . . . , Xn from the densi...