We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
In this paper the problem of fault-tolerant message routing in two-dimensional meshes, with each inner node having 4 neighbors, is investigated. It is assumed that some nodes/links...
Modern architectural trends in instruction-level parallelism (ILP) are to increase the computational power of microprocessors significantly. As a result, the demands on memory ha...
Motion Estimation (ME) is the most computationally intensive part of video compression and video enhancement systems. One bit transform (1BT) based ME algorithms have low computat...
We present a new polynomial-space algorithm for solving Distributed Constraint Optimization problems (DCOP). The algorithm, called NCBB, is branch and bound search with modificati...