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CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 9 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
125
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NIPS
2000
15 years 4 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
147
Voted
WABI
2010
Springer
177views Bioinformatics» more  WABI 2010»
15 years 29 days ago
Estimation of Alternative Splicing isoform Frequencies from RNA-Seq Data
In this paper we present a novel expectation-maximization algorithm for inference of alternative splicing isoform frequencies from high-throughput transcriptome sequencing (RNA-Seq...
Marius Nicolae, Serghei Mangul, Ion I. Mandoiu, Al...
EWSN
2008
Springer
16 years 2 months ago
Lifetime Maximization in Wireless Sensor Networks by Distributed Binary Search
We consider the problem of determining the transmission power assignment that maximizes the lifetime of a data-gathering wireless sensor network with stationary nodes and static tr...
André Schumacher, Harri Haanpää, ...
207
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TON
2010
151views more  TON 2010»
14 years 9 months ago
Throughput Optimal Distributed Power Control of Stochastic Wireless Networks
The Maximum Differential Backlog (MDB) control policy of Tassiulas and Ephremides has been shown to adaptively maximize the stable throughput of multihop wireless networks with ran...
Yufang Xi, Edmund M. Yeh