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» Approximation Schemes for Scheduling
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124
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TIT
2008
141views more  TIT 2008»
15 years 5 days ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
117
Voted
CG
2005
Springer
15 years 4 days ago
Adaptive density estimation using an orthogonal series for global illumination
In Monte-Carlo photon-tracing methods energy-carrying particles are traced in an environment to generate hit points on object surfaces for simulating global illumination. The surf...
Kam Wah Wong, Wenping Wang
TSP
2008
101views more  TSP 2008»
15 years 4 days ago
Optimal Node Density for Detection in Energy-Constrained Random Networks
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
Animashree Anandkumar, Lang Tong, Ananthram Swami
114
Voted
NN
1998
Springer
177views Neural Networks» more  NN 1998»
14 years 12 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
SAC
2002
ACM
14 years 12 months ago
A multi-agent system architecture for coordination of just-in-time production and distribution
A multi-agent system architecture for coordination of just-in-time production and distribution is presented. The problem to solve is two-fold: first the right amount of resources ...
Paul Davidsson, Fredrik Wernstedt