This paper addresses the problem of simultaneously estimating the state and the input of a linear discrete-time system. A recursive filter, optimal in the minimum-variance unbias...
Based on the linear expression of the dynamics of Boolean networks, the coordinate transformation of Boolean variables is defined. It follows that the state space coordinate trans...
In this paper, a new class of Bayesian lower bounds is proposed. Derivation of the proposed class is performed via projection of each entry of the vector-function to be estimated ...
We describe a scalable and general-purpose framework for auto-tuning compiler-generated code. We combine Active Harmony’s parallel search backend with the CHiLL compiler transfo...
Ananta Tiwari, Chun Chen, Jacqueline Chame, Mary W...
This paper presents a novel fuzzy stochastic Kalman filter for compression of digital images. In particular, it is shown that the state evolution of the synthesis coefficients of ...