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EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 years 7 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
ICNP
2006
IEEE
16 years 25 days ago
Benefit-based Data Caching in Ad Hoc Networks
—Data caching can significantly improve the efficiency of information access in a wireless ad hoc network by reducing the access latency and bandwidth usage. However, designing e...
Bin Tang, Himanshu Gupta, Samir R. Das
CIMCA
2008
IEEE
16 years 1 months ago
LGR: The New Genetic Based Scheduler for Grid Computing Systems
—The computational grid provides a promising platform for the deployment of various high-performance computing applications. In computational grid, an efficient scheduling of tas...
Leili Mohammad Khanli, Seyad Naser Razavi, Nima Ja...
TEC
2010
126views more  TEC 2010»
15 years 1 months ago
Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations
A new algorithm for solving MAX-SAT problems is introduced which clusters good solutions, and restarts the search from the closest feasible solution to the centroid of each cluster...
Mohamed Qasem, Adam Prügel-Bennett
RAS
2006
123views more  RAS 2006»
15 years 6 months ago
Planning exploration strategies for simultaneous localization and mapping
In this paper, we present techniques that allow one or multiple mobile robots to efficiently explore and model their environment. While much existing research in the area of Simul...
Benjamín Tovar, Lourdes Muñoz-G&oacu...