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AAAI
2008
15 years 5 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
130
Voted
TMC
2010
155views more  TMC 2010»
15 years 1 months ago
Maximizing the Lifetime of a Barrier of Wireless Sensors
—To make a network last beyond the lifetime of an individual sensor, redundant sensors must be deployed. What sleep-wakeup schedule can then be used for individual sensors so tha...
Santosh Kumar, Ten-Hwang Lai, Marc E. Posner, Pras...
128
Voted
TOH
2010
78views more  TOH 2010»
15 years 1 months ago
Optimum Information Transfer Rates for Communication through Haptic and Other Sensory Modalities
—This paper is concerned with investigating the factors that contribute to optimizing information transfer (IT) rate in humans. With an increasing interest in designing complex h...
Hong Z. Tan, Charlotte M. Reed, Nathaniel I. Durla...
123
Voted
ACCV
2010
Springer
14 years 9 months ago
A Convex Image Segmentation: Extending Graph Cuts and Closed-Form Matting
Abstract. Image matting and segmentation are two closely related topics that concern extracting the foreground and background of an image. While the methods based on global optimiz...
Youngjin Park, Suk I. Yoo
143
Voted
TSMC
2010
14 years 9 months ago
Bio-inspired Algorithms for Autonomous Deployment and Localization of Sensor Nodes
Abstract--Optimal deployment and accurate localization of sensor nodes have a strong influence on the performance of a wireless sensor network (WSN). This paper considers real-time...
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy