This paper investigates the impact of using different temporal algebras for learning temporal relations between events. Specifically, we compare three intervalbased algebras: Alle...
We present a new color image compression algorithm for RGB images. In our previous work [6], we presented a machine learning technique to derive a dictionary of orthonormal basis ...
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
—In the research of computer vision and machine perception, three-dimensional objects are usually represented by 2-manifold triangular meshes M. In this paper, we present practic...
We study the problem on how to maximize the throughput for a periodic real-time system under the given peak temperature constraint. We assume that different tasks in our system ma...