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AUTOMATICA
2005
103views more  AUTOMATICA 2005»
15 years 4 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
TIP
2008
165views more  TIP 2008»
15 years 4 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
128
Voted
CI
2004
116views more  CI 2004»
15 years 4 months ago
Solution Generation with Qualitative Models of Preferences
We consider automated decision aids that help users select the best solution from a large set of options. For such tools to successfully accomplish their task, eliciting and repre...
Boi Faltings, Marc Torrens, Pearl Pu
CORR
2010
Springer
225views Education» more  CORR 2010»
15 years 4 months ago
Analysis of the Security of BB84 by Model Checking
Quantum Cryptography or Quantum key distribution (QKD) is a technique that allows the secure distribution of a bit string, used as key in cryptographic protocols. When it was note...
Mohamed Elboukhari, Mostafa Azizi, Abdelmalek Aziz...
JMLR
2010
172views more  JMLR 2010»
14 years 11 months ago
Modeling annotator expertise: Learning when everybody knows a bit of something
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
Yan Yan, Rómer Rosales, Glenn Fung, Mark W....