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» Solving Hierarchical Optimization Problems Using MOEAs
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IPSN
2004
Springer
14 years 12 days 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
SIGGRAPH
1998
ACM
13 years 11 months ago
Recovering Photometric Properties of Architectural Scenes from Photographs
In this paper, we present a new approach to producing photorealistic computer renderings of real architectural scenes under novel lighting conditions, such as at different times o...
Yizhou Yu, Jitendra Malik
ATAL
2010
Springer
13 years 8 months ago
Aggregation-mediated collective perception and action in a group of miniature robots
We introduce a novel case study in which a group of miniaturized robots screen an environment for undesirable agents, and destroy them. Because miniaturized robots are usually end...
Grégory Mermoud, Loïc Matthey, William...
COMCOM
2008
145views more  COMCOM 2008»
13 years 7 months ago
A game-theoretic intrusion detection model for mobile ad hoc networks
In this paper, we address the problem of increasing the effectiveness of an intrusion detection system (IDS) for a cluster of nodes in ad hoc networks. To reduce the performance o...
Hadi Otrok, Noman Mohammed, Lingyu Wang, Mourad De...
COR
2008
116views more  COR 2008»
13 years 7 months ago
Supply disruptions with time-dependent parameters
We consider a firm that faces random demand and receives product from a single supplier who faces random supply. The supplier's availability may be affected by events such as...
Andrew M. Ross, Ying Rong, Lawrence V. Snyder