In this paper we propose an algorithm for aligning three-dimensional obj...
This paper integrates manifold learning techniques within a Gaussian
pro...
In recent decades, science and engineering have been revolutionized by a...
The stochastic partial differential equation approach to Gaussian proces...
We study uniform consistency in nonparametric mixture models as well as
...
This paper studies Bayesian nonparametric estimation of a binary regress...
This paper investigates Gaussian Markov random field approximations to
n...
This paper investigates the formulation and implementation of Bayesian
i...
Several data analysis techniques employ similarity relationships between...