We study the problem of applying adaptive filters for approximate query processing in a distributed stream environment. We propose filter bound assignment protocols with the obj...
Reynold Cheng, Ben Kao, Sunil Prabhakar, Alan Kwan...
: Following Etherington, Hoge and Parkes, we consider a network consisting of (approximately) N transceivers in the plane R2 distributed randomly with density given by a Gaussian d...
: We develop and study the concept of dataflow process networks as used for example by Kahn to suit exact computation over data types related to real numbers, such as continuous fu...
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Abstract—We propose a novel search mechanism for unstructured p2p networks, and show that it is both scalable, i.e., it leads to a bounded query traffic load per peer as the pee...