A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
Abstract. This paper addresses the problem of automatically segmenting bone structures in low resolution clinical MRI datasets. The novel aspect of the proposed method is the combi...
GenSATis a family of local hill-climbing procedures for solving propositional satisfiability problems.We restate it as a navigational search process performed on an N-dimensionalc...
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
In this paper, we propose a family of novel stereoscopic image coders based on morphological coding and a block-based disparity compensation algorithm. The proposed schemes employ...