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» Approximation Algorithms for Data Placement Problems
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TROB
2008
154views more  TROB 2008»
13 years 6 months ago
Large-Scale SLAM Building Conditionally Independent Local Maps: Application to Monocular Vision
SLAM algorithms based on local maps have been demonstrated to be well suited for mapping large environments as they reduce the computational cost and improve the consistency of the...
Pedro Pinies, Juan D. Tardós
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
14 years 1 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
CSL
2010
Springer
13 years 7 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
SIGMOD
2009
ACM
120views Database» more  SIGMOD 2009»
14 years 7 months ago
Kernel-based skyline cardinality estimation
The skyline of a d-dimensional dataset consists of all points not dominated by others. The incorporation of the skyline operator into practical database systems necessitates an ef...
Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papa...
EDBT
2008
ACM
122views Database» more  EDBT 2008»
14 years 7 months ago
Semantic peer, here are the neighbors you want!
Peer Data Management Systems (PDMSs) have been introduced as a solution to the problem of large-scale sharing of semantically rich data. A PDMS consists of semantic peers connecte...
Wilma Penzo, Stefano Lodi, Federica Mandreoli, Ric...