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130
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SIGMOD
2004
ACM
121views Database» more  SIGMOD 2004»
16 years 3 months ago
A secure hierarchical model for sensor network
In a distributed sensor network, large number of sensors deployed which communicate among themselves to selforganize a wireless ad hoc network. We propose an energyefficient level...
Malik Ayed Tubaishat, Jian Yin, Biswajit Panja, Sa...
DCC
2006
IEEE
16 years 3 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
120
Voted
CVPR
2010
IEEE
15 years 11 months ago
A Novel Riemannian Framework for Shape Analysis of 3D Objects
In this paper we introduce a novel Riemannian framework for shape analysis of parameterized surfaces. We derive a distance function between any two surfaces that is invariant to r...
Sebastian Kurtek, Eric Klassen, Anuj Srivastava, Z...
WWW
2010
ACM
15 years 10 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
115
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ICDE
2010
IEEE
231views Database» more  ICDE 2010»
15 years 10 months ago
Estimating the progress of MapReduce pipelines
Abstract— In parallel query-processing environments, accurate, time-oriented progress indicators could provide much utility given that inter- and intra-query execution times can ...
Kristi Morton, Abram Friesen, Magdalena Balazinska...