In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
Balakrishnan Varadarajan, Garimella S. V. S. Sivar...
Abstract: Modern software development approaches, especially the model-driven approaches, heavily rely on the use of models during the whole development process. With the increasin...
In this paper we discuss variational data assimilation using the STEM atmospheric Chemical Transport Model. STEM is a multiscale model and can perform air quality simulations and p...
The high speed at which new businesses are developed can to a large extent be attributed to their ability to flexibly combine existing services into an integrated business platfor...
This paper discusses a method to watermark a 3D shape model defined as a set of unoriented points. Our approach is to perform frequency domain analysis of the shape of the 3D poin...