Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Content understanding is a crucial issue for website adaptation. In this paper we present a Function-based Object Model (FOM) that attempts to understand authors' intention b...
Jinlin Chen, Baoyao Zhou, Jin Shi, HongJiang Zhang...
We present Hector, a software tool for combining different abstraction methods to extract sound models of heap-manipulating imperative programs with recursion. Extracted models ma...
Recently, a number of works have been published on implementing assignment decision diagram models combined with SAT methods to address register-transfer level test pattern genera...
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...