The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
We propose a novel model to characterize the security of linear blinding techniques. The proposed model relates the security of blinding to the possibility of estimating the blind...
In this paper, we present a theoretical analysis of the error with three basic Monte Carlo radiosity algorithms, based on continuous collision shooting random walks, discrete coll...
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this...