-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
Robots possess many effectors and sensors of various capability. It is often difficult, not only to integrate these numerous capabilities, but also to organize them to accomplish ...
To ensure space flight safety, it is necessary to monitor myriad sensor readings on the ground and in flight. Since a space shuttle has many sensors, monitoring data and drawing c...
Charles Lee, Darrin M. Hanna, Richard E. Haskell, ...
Abstract-- We present a new application of the Image Analogies algorithm to be used for image segmentation. Our approach requires supervised training data, so we apply it to the do...
- The Inductive Monitoring System (IMS) software was developed to provide a technique to automatically produce health monitoring knowledge bases for systems that are either difficu...
: This paper describes a refinement of an approach to locating objects in complex images with the objective of reducing the false alarm rate. The method uses genetic programming to...
Andrew Innes, Victor Ciesielski, John Mamutil, Sab...
The goal of this work is to design and implement an agent-based system that facilitates interaction among a group of individuals who are part of an organization, observe types and...
In the age of electronic commerce, with low-cost information access, it has been recognized that a bundle search in a combinatorial trade is very valuable for buyers. Optimal trav...
In computational grids, heterogeneous resources with different ownerships are dynamically available and distributed geographically. It is not realistic to build the resource alloc...