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143
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SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 22 days ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
127
Voted
IPSN
2010
Springer
15 years 10 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
WACV
2008
IEEE
15 years 10 months ago
Distributed Visual Processing for a Home Visual Sensor Network
deliver objects, handle emergency, wherever he/she is inside the home. In addition, the burden of processing We address issues dealing with distributed visual power can be distribu...
Kwangsu Kim, Gérard G. Medioni
DATE
2007
IEEE
107views Hardware» more  DATE 2007»
15 years 10 months ago
Routing table minimization for irregular mesh NoCs
The majority of current Network on Chip (NoC) architectures employ mesh topology and use simple static routing, to reduce power and area. However, regular mesh topology is unreali...
Evgeny Bolotin, Israel Cidon, Ran Ginosar, Avinoam...
135
Voted
DILS
2007
Springer
15 years 9 months ago
Fast Approximate Duplicate Detection for 2D-NMR Spectra
2D-Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical method to elucidate the chemical structure of molecules. In contrast to 1D-NMR spectra, 2D-NMR spectra cor...
Björn Egert, Steffen Neumann, Alexander Hinne...
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