Currently, Model-Driven Engineering (MDE) is considered one of the most promising approaches for software development. In this paper, a simple but complete example based on state-m...
Diego Alonso, Cristina Vicente-Chicote, Pedro S&aa...
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
In this paper, we present a method for predictive modeling of anatomic structures using canonical correlation analysis (CCA). Using this technique, certain anatomical structures, ...
—ModelNet is a network emulator designed for repeatable, large-scale experimentation with real networked systems. This talk introduces the ideas behind ModelNet that have made it...
Kashi Venkatesh Vishwanath, Amin Vahdat, Ken Yocum...
— In this paper, a new statistical model is proposed for modeling the nature images in the transform domain. We demonstrate that the von Mises distribution (VM) fits accurately ...