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108
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CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 4 months ago
A Faster Algorithm for Quasi-convex Integer Polynomial Optimization
We present a faster exponential-time algorithm for integer optimization over quasi-convex polynomials. We study the minimization of a quasiconvex polynomial subject to s quasi-con...
Robert Hildebrand, Matthias Köppe
158
Voted
TON
2008
159views more  TON 2008»
15 years 4 months ago
Optimizing lifetime for continuous data aggregation with precision guarantees in wireless sensor networks
This paper exploits the tradeoff between data quality and energy consumption to extend the lifetime of wireless sensor networks. To obtain an aggregate form of sensor data with pre...
Xueyan Tang, Jianliang Xu
149
Voted
CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 3 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
TVCG
2010
161views more  TVCG 2010»
15 years 2 months ago
Globally Optimized Linear Windowed Tone Mapping
—This paper introduces a new tone mapping operator that performs local linear adjustments on small overlapping windows over the entire input image. While each window applies a lo...
Qi Shan, Jiaya Jia, Michael S. Brown
TMC
2010
167views more  TMC 2010»
14 years 11 months ago
Optimal Speed Control of Mobile Node for Data Collection in Sensor Networks
A data mule represents a mobile device that collects data in a sensor field by physically visiting the nodes in a sensor network. The data mule collects data when it is in the prox...
Ryo Sugihara, Rajesh K. Gupta