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133
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CORR
2011
Springer
168views Education» more  CORR 2011»
14 years 7 months ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
93
Voted
NETWORKING
2004
15 years 2 months ago
Fairness Issues in Bus-Based Optical Access Networks
Packet-based optical access ring is becoming a promising solution in metropolitan networks. Its performance depends mainly on how optical resource sharing takes place among the dif...
Nizar Bouabdallah, André-Luc Beylot, Guy Pu...
105
Voted
EUROSYS
2010
ACM
15 years 9 months ago
Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling
As organizations start to use data-intensive cluster computing systems like Hadoop and Dryad for more applications, there is a growing need to share clusters between users. Howeve...
Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma...
92
Voted
GLOBECOM
2006
IEEE
15 years 6 months ago
TCP Fairness for Uplink and Downlink Flows in WLANs
— In WLANs, fairness is an important issue because the channel is shared by many users. This paper proposes a dual queue based scheme in an access point (AP) for TCP fairness amo...
Juho Ha, Chong-Ho Choi
79
Voted
ICPR
2008
IEEE
15 years 7 months ago
Clustering-based locally linear embedding
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
Kanghua Hui, Chunheng Wang