We consider extending decision support facilities toward large sophisticated networks, upon which multidimensional attributes are associated with network entities, thereby forming...
This paper shares our experience in designing a web crawler that can download billions of pages using a single-server implementation and models its performance. We show that with ...
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module. A human subject is first recorded using a videocamera as he/she u...
Much of the traffic carried by Sensor Networks will originate from routine measurements or observations by sensors which monitor a particular situation, such as the temperature an...