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IPSN
2004
Springer
15 years 9 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
ATAL
2010
Springer
15 years 5 months ago
Using counterfactual regret minimization to create competitive multiplayer poker agents
Games are used to evaluate and advance Multiagent and Artificial Intelligence techniques. Most of these games are deterministic with perfect information (e.g. Chess and Checkers)....
Nicholas Abou Risk, Duane Szafron
139
Voted
CDC
2010
IEEE
129views Control Systems» more  CDC 2010»
14 years 11 months ago
On optimal input signal design for frequency response estimation
This paper studies optimal input excitation design for parametric frequency response estimation. We will focus on least-squares estimation of Finite Impulse Response (FIR) models a...
Bo Wahlberg, Håkan Hjalmarsson, Petre Stoica
ISCAS
2008
IEEE
217views Hardware» more  ISCAS 2008»
15 years 10 months ago
Approximate L0 constrained non-negative matrix and tensor factorization
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
Morten Mørup, Kristoffer Hougaard Madsen, L...
TRIDENTCOM
2006
IEEE
15 years 10 months ago
A testbed demonstrating optical IP switching (OIS) in disaggregated network architectures
: The lack of a unified control plane does not allow current optical networks to dynamically provision new optical paths. The IETF standardization body has proposed the Generalized...
Marco Ruffini, Donal O'Mahony, Linda Doyle