Web caching has been well accepted as a viable method for saving network bandwidth and reducing user access latency. To provide cache sharing on a large scale, hierarchical web cac...
Wenzhong Li, Kun Wu, Xu Ping, Ye Tao, Sanglu Lu, D...
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
This paper presents an efficient hierarchical 3D capacitance extraction algorithm -- ICCAP. Most previous capacitance extraction algorithms introduce intermediate variables to fac...
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...