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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 5 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
ICC
2009
IEEE
147views Communications» more  ICC 2009»
14 years 2 months ago
Distributed Quality-Lifetime Maximization in Wireless Video Sensor Networks
—Owing to the availability of low-cost and low-power CMOS cameras, Wireless Video Sensor Networks (WVSN) has recently become a reality. However video encoding is still a costly p...
Eren Gürses, Yuan Lin, Raouf Boutaba
ICIP
2001
IEEE
14 years 9 months ago
Synthesis and applications of lattice image operators based on fuzzy norms
In this paper we use concepts from the lattice-based theory of morphological operators and fuzzy sets to develop generalized lattice image operators that can be expressed as nonli...
Petros Maragos, Vassilis Tzouvaras, Giorgos B. Sta...
ISQED
2007
IEEE
152views Hardware» more  ISQED 2007»
14 years 1 months ago
Variation Aware Timing Based Placement Using Fuzzy Programming
In nanometer regime, the effects of variations are having an increasing impact on the delay and power characteristics of devices as well as the yield of the circuit. Statistical t...
Venkataraman Mahalingam, N. Ranganathan
TVLSI
2002
144views more  TVLSI 2002»
13 years 7 months ago
On-chip inductance cons and pros
Abstract--This paper provides a high level survey of the increasing effects of on-chip inductance. These effects are classified into desirable and nondesirable effects. Among the u...
Yehea I. Ismail