HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
We conjecture that the worst case number of experiments necessary and sufficient to discover a causal graph uniquely given its observational Markov equivalence class can be specif...
Service discovery is a key concept in a distributed Grid environment. The first step towards Grid implement is the discovery of services. In this paper, we build a new Grid servic...
Call graphs are widely used to represent calling relationships among methods. However, there is not much interest in calling relationships among library methods in many software e...