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SENSYS
2006
ACM
16 years 11 days ago
Run-time dynamic linking for reprogramming wireless sensor networks
From experience with wireless sensor networks it has become apparent that dynamic reprogramming of the sensor nodes is a useful feature. The resource constraints in terms of energ...
Adam Dunkels, Niclas Finne, Joakim Eriksson, Thiem...
SENSYS
2006
ACM
16 years 11 days ago
Virtual high-resolution for sensor networks
The resolution at which a sensor network collects data is a crucial parameter of performance since it governs the range of applications that are feasible to be developed using tha...
Aman Kansal, William J. Kaiser, Gregory J. Pottie,...
SIGIR
2006
ACM
16 years 11 days ago
You are what you say: privacy risks of public mentions
In today’s data-rich networked world, people express many aspects of their lives online. It is common to segregate different aspects in different places: you might write opinion...
Dan Frankowski, Dan Cosley, Shilad Sen, Loren G. T...
SIGIR
2006
ACM
16 years 11 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
16 years 11 days ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
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