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ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
13 years 12 months ago
Adaptive minimax filtering via recursive optimal quadratic approximations
This paper considers the minimax filtering problem in which the supremum norm of weighted error sequence is minimized. It is shown that the minimax solution is also the optimal Se...
S. Gollamudi, Yih-Fang Huang
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 9 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
COLT
2008
Springer
13 years 9 months ago
Adapting to a Changing Environment: the Brownian Restless Bandits
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
Aleksandrs Slivkins, Eli Upfal
ICRA
2009
IEEE
154views Robotics» more  ICRA 2009»
14 years 2 months ago
On the complexity and consistency of UKF-based SLAM
— This paper addresses two key limitations of the unscented Kalman filter (UKF) when applied to the simultaneous localization and mapping (SLAM) problem: the cubic, in the numbe...
Guoquan Huang, Anastasios I. Mourikis, Stergios I....
DATE
2008
IEEE
100views Hardware» more  DATE 2008»
14 years 2 months ago
User-Aware Dynamic Task Allocation in Networks-on-Chip
In this paper, we propose a run-time strategy for allocating the application tasks to platform resources in homogeneous Networks-on-Chip (NoCs). As novel contribution, we incorpor...
Chen-Ling Chou, Radu Marculescu