Estimation of three-dimensional articulated human pose and motion from images is a central problem in computer vision. Much of the previous work has been limited by the use of cru...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Inspired by the abilities of the praying mantis to judge distance to its prey before the strike by use of motionbased visually mediated odometry, we create miniature model for dep...
Abstract. This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the perf...
Abstract. We compare Kripke models and hypercube systems, a simpli ed notion of Interpreted Systems, as semantic structures for reasoning about knowledge. Our method is to de ne a ...