— In a grid-computing environment, resource selection and scheduling depend on the network topology connecting the computation nodes. This paper presents a method to hierarchical...
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
In this paper, we consider parallel tasks scheduling problems for hierarchical decentralized systems that consist of homogeneous computational resources such as clusters, PCs and ...
Sergey Zhuk, Andrey Chernykh, Arutyun Avetisyan, S...
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...