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» A novel memetic algorithm for constrained optimization
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TIP
2010
160views more  TIP 2010»
13 years 1 months ago
Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography
We develop two new algorithms for tomographic reconstruction which incorporate the technique of equally-sloped tomography (EST) and allow for the optimized and flexible implementat...
Yu Mao, Benjamin P. Fahimian, Stanley Osher, Jianw...
ICC
2007
IEEE
146views Communications» more  ICC 2007»
14 years 1 months ago
Optimally Mapping an Iterative Channel Decoding Algorithm to a Wireless Sensor Network
–Retransmission based schemes are not suitable for energy constrained wireless sensor networks. Hence, there is an interest in including parity bits in each packet for error cont...
Saad B. Qaisar, Shirish S. Karande, Kiran Misra, H...
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
14 years 1 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
ISDA
2008
IEEE
14 years 1 months ago
Cultural-Based Genetic Algorithm: Design and Real World Applications
Due to their excellent performance in solving combinatorial optimization problems, metaheuristics algorithms such as Genetic Algorithms (GA), Simulated Annealing (SA) and Tabu Sea...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
ICASSP
2007
IEEE
13 years 10 months ago
Multi-Channel Source Separation Preserving Spatial Information
In this paper we propose two novel methods for preserving the spatial information in source separation algorithms. Our approach is applicable to any source separation algorithm an...
Robert Aichner, Herbert Buchner, Meray Zourub, Wal...