In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
Building realistic Internet topologies is an important step towards predicting the behavior of new distributed applications and protocols. We are creating topologies that predict ...
As the scale of high performance computing (HPC) continues to grow, application fault resilience becomes crucial. To address this problem, we are working on the design of an adapt...
We propose a novel feature-based image registration method using both the local and global structures of the feature points. To address various imaging conditions, we improve the l...