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» Challenges for Data Mining in Distributed Sensor Networks
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CJ
2004
99views more  CJ 2004»
13 years 8 months ago
Filters for XML-based Service Discovery in Pervasive Computing
Pervasive computing refers to an emerging trend towards numerous casually accessible devices connected to an increasingly ubiquitous network infrastructure. An important challenge...
Georgia Koloniari, Evaggelia Pitoura
GRC
2010
IEEE
13 years 10 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
MOBIHOC
2003
ACM
14 years 2 months ago
PAN: providing reliable storage in mobile ad hoc networks with probabilistic quorum systems
Reliable storage of data with concurrent read/write accesses (or query/update) is an ever recurring issue in distributed settings. In mobile ad hoc networks, the problem becomes e...
Jun Luo, Jean-Pierre Hubaux, Patrick Th. Eugster
ICPP
2008
IEEE
14 years 3 months ago
Parallel Inferencing for OWL Knowledge Bases
Abstract— We examine the problem of parallelizing the inferencing process for OWL knowledge-bases. A key challenge in this problem is partitioning the computational workload of t...
Ramakrishna Soma, Viktor K. Prasanna
ECCV
2002
Springer
14 years 10 months ago
Model Acquisition by Registration of Multiple Acoustic Range Views
This paper deals with the three-dimensional reconstruction of an underwater environment from multiple acoustic range views acquired by a remotely operated vehicle. The problem is m...
Andrea Fusiello, Umberto Castellani, Lucca Ronchet...