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» Modeling GA Performance for Control Parameter Optimization
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TIT
2010
110views Education» more  TIT 2010»
13 years 3 months ago
On network interference management
We study two building-block models of interference-limited wireless networks, motivated by the problem of joint Peer-to-Peer and Wide Area Network design. In the first case, a sin...
Aleksandar Jovicic, Hua Wang, Pramod Viswanath
ETRA
2010
ACM
213views Biometrics» more  ETRA 2010»
13 years 10 months ago
Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms
This paper presents a set of qualitative and quantitative scores designed to assess performance of any eye movement classification algorithm. The scores are designed to provide a ...
Oleg V. Komogortsev, Sampath Jayarathna, Do Hyong ...
DCC
2003
IEEE
14 years 2 months ago
Universal Multiple Description Scalar Quantization: Analysis and Design
—This paper introduces a new high-rate analysis of the multiple description scalar quantizer (MDSQ) with balanced descriptions. The analysis provides insight into the structure o...
Chao Tian, Sheila S. Hemami
VMV
2000
146views Visualization» more  VMV 2000»
13 years 10 months ago
Matching 3D Freeform Shapes to Digitized Objects
In this paper the problem of matching freeform surface features against measured point data is studied. The motivation for this investigation is the recent demand for fast and rob...
Joris S. M. Vergeest, Sander Spanjaard, Jos J. O. ...
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 10 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi