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» Approximability of Robust Network Design
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131
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JMLR
2006
131views more  JMLR 2006»
15 years 3 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Pavel Laskov, Christian Gehl, Stefan Krüger, ...
153
Voted
WINET
2010
224views more  WINET 2010»
15 years 2 months ago
Hierarchical geographic multicast routing for wireless sensor networks
Wireless sensor networks comprise typically dense deployments of large networks of small wireless capable sensor devices. In such networks, multicast is a fundamental routing servi...
Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charl...
257
Voted
ASUNAM
2011
IEEE
14 years 3 months ago
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis
—Modern applications such as web knowledge base, network traffic monitoring and online social networks have made available an unprecedented amount of network data with rich type...
Koji Maruhashi, Fan Guo, Christos Faloutsos
237
Voted
SIGMOD
2005
ACM
220views Database» more  SIGMOD 2005»
16 years 3 months ago
Sampling Algorithms in a Stream Operator
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...
Theodore Johnson, S. Muthukrishnan, Irina Rozenbau...
138
Voted
INFOCOM
2008
IEEE
15 years 10 months ago
Cross-Monotonic Multicast
—In the routing and cost sharing of multicast towards a group of potential receivers, cross-monotonicity is a property that states a user’s payment can only be smaller when ser...
Zongpeng Li