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ACL
2010
13 years 5 months ago
Practical Very Large Scale CRFs
Conditional Random Fields (CRFs) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate str...
Thomas Lavergne, Olivier Cappé, Franç...
GLOBECOM
2010
IEEE
13 years 5 months ago
Compressive Data Persistence in Large-Scale Wireless Sensor Networks
This paper considers a large-scale wireless sensor network where sensor readings are occasionally collected by a mobile sink, and sensor nodes are responsible for temporarily stori...
Mu Lin, Chong Luo, Feng Liu, Feng Wu
JMLR
2010
108views more  JMLR 2010»
13 years 2 months ago
Tree Decomposition for Large-Scale SVM Problems
To handle problems created by large data sets, we propose a method that uses a decision tree to decompose a given data space and train SVMs on the decomposed regions. Although the...
Fu Chang, Chien-Yang Guo, Xiao-Rong Lin, Chi-Jen L...
SIGCOMM
2012
ACM
11 years 10 months ago
Revealing contact interval patterns in large scale urban vehicular ad hoc networks
Contact interval between moving vehicles is one of the key metrics in vehicular ad hoc networks (VANETs), which is important to routing schemes and network capacity. In this work,...
Yong Li, Depeng Jin, Pan Hui, Li Su, Lieguang Zeng
LCTRTS
2007
Springer
14 years 1 months ago
Integrated CPU and l2 cache voltage scaling using machine learning
Embedded systems serve an emerging and diverse set of applications. As a result, more computational and storage capabilities are added to accommodate ever more demanding applicati...
Nevine AbouGhazaleh, Alexandre Ferreira, Cosmin Ru...