We propose a methodology based on testing as a framework to capture the interactions of a machine represented in a denotational model and the data it manipulates. Using a duality t...
This paper presents a Service-Oriented Process Model (SOM) to build a web-services based process management system, called MIDAS that would support distributed Design and Manufact...
Moon-Jung Chung, Woongsup Kim, Ravi Gopalan, Hong ...
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
The creation of a development process is a challenging task. The application, customization and refinement of generic process models into fine-grained process steps suitable for a...
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...