This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Small-bias, or -biased, spaces have found many applications in complexity theory, coding theory, and derandomization. We generalize the notion of small-bias spaces to the setting ...
Despite significant progress in deformable model fitting over the last decade, the problem of efficient and accurate person-independentface fitting remains a challenging probl...
A spatio-temporal autoregressive model is proposed in this paper to address the problem of frame rate up conversion. Every pixel in a skipped frame is generated as a linear combin...
Yongbing Zhang, Debin Zhao, Xiangyang Ji, Ronggang...