Feature models are commonly used to capture the commonality and the variability of product families. There are several feature model notations that correspondingly depict the conce...
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes first and second order statistics of other independent components...
In this paper, we present an easy, efficient and practical algorithm, which extracts the feature silhouette from a photograph for virtual human modeling. Our segmentation algorith...
Yu Wang 0010, Charlie C. L. Wang, Matthew Ming-Fai...
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...