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» Identifying graphs from noisy and incomplete data
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ICC
2007
IEEE
146views Communications» more  ICC 2007»
14 years 1 months ago
Correlation Based Rate Adaptation via Insights from Incomplete Observations in 802.11 Networks
—Rate adaptation, as a challenging issue for wireless purpose. Relatively little attention has been paid on identifying network design, has been an active research topic for year...
Xia Zhou, Jun Zhao, Guang-Hua Yang
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 7 months ago
Logical settings for concept learning from incomplete examples in First Order Logic
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
Dominique Bouthinon, Henry Soldano, Véroniq...
CG
2002
Springer
13 years 7 months ago
Shape reconstruction from partially missing data in modal space
To reconstruct the shape of objects from incomplete point sets or noisy images, robust and accurate reconstruction methods are required. This paper presents a physics-based approa...
Soo-Mi Choi, Myoung-Hee Kim
BMCBI
2007
160views more  BMCBI 2007»
13 years 7 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
SIAMSC
2008
182views more  SIAMSC 2008»
13 years 7 months ago
A Distributed SDP Approach for Large-Scale Noisy Anchor-Free Graph Realization with Applications to Molecular Conformation
We propose a distributed algorithm for solving Euclidean metric realization problems arising from large 3D graphs, using only noisy distance information, and without any prior kno...
Pratik Biswas, Kim-Chuan Toh, Yinyu Ye