A method for compression of large binary images is proposed for applications where spatial access to the image is required. The proposed method is a two-stage combination of forwa...
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Almost all Chinese language processing tasks involve word segmentation of the language input as their first steps, thus robust and reliable segmentation techniques are always requ...
The model presented in this paper incorporates various causal and feedback loops in the structure of the dynamic decision-making processes and performance in nonequity alliances. ...
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...