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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 10 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 10 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
COMSUR
2011
221views Hardware» more  COMSUR 2011»
13 years 9 months ago
Computational Intelligence in Wireless Sensor Networks: A Survey
—Wireless sensor networks (WSNs) are networks of distributed autonomous devices that can sense or monitor physical or environmental conditions cooperatively. WSNs face many chall...
Raghavendra V. Kulkarni, A. Forster, Ganesh K. Ven...
ICASSP
2009
IEEE
14 years 7 months ago
Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers
In this paper, we study transmission schemes for a novel OFDMbased MIMO system which performs adaptive signal combining in radio-frequency (RF). Specifically, we consider the prob...
Javier Vía, Victor Elvira, Ignacio Santamar...
ECCV
2002
Springer
15 years 11 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto