The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
We present a speech pre-processing scheme (SPPS) for robust speech recognition in the moving motorcycle environment. The SPPS is dynamically adapted during the run-time operation ...
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
In this paper we present a new method for locating multiple sound sources using only a local segment of data from a large-aperture microphone array. The result of this work may be...
An important precondition for the success of the Semantic Web is founded on the principle that the content of web pages will be semantically annotated. In this paper, we propose a ...