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ICML
2009
IEEE
16 years 8 months ago
On primal and dual sparsity of Markov networks
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
Jun Zhu, Eric P. Xing
ICAS
2009
IEEE
147views Robotics» more  ICAS 2009»
16 years 2 months ago
Fast Estimation of Aggregates in Unstructured Networks
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary of some global sys...
Carlos Baquero, Paulo Sérgio Almeida, Raque...
243
Voted
ICC
2009
IEEE
158views Communications» more  ICC 2009»
16 years 2 months ago
An Energy-Aware Routing Protocol for Ad-Hoc Networks Based on the Foraging Behavior in Ant Swarms
—Routing in ad-hoc networks can consume considerable amount of battery power. However, as the nodes in these networks have limited power, routing is very much energy-constrained....
Sanjay Kumar Dhurandher, Sudip Misra, Mohammad S. ...
GLOBECOM
2008
IEEE
16 years 1 months ago
Transport of Long-Range Dependent Traffic in Single-Hop and Multi-Hop IEEE 802.11e Networks
 Long-range dependence (LRD) is a widely verified property of traffic crossing the wireless LAN radio interface. LRD severely affects network performance yielding longer queuing...
Stefano Bregni, Paolo Giacomazzi, Gabriella Saddem...
179
Voted
GLOBECOM
2008
IEEE
16 years 1 months ago
Routing with Probabilistic Delay Guarantees in Wireless Ad-Hoc Networks
—In many wireless ad-hoc networks it is important to find a route that delivers a message to the destination within a certain deadline (delay constraint). We propose to identify...
Matthew Brand, Petar Maymounkov, Andreas F. Molisc...