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ISBI
2009
IEEE
16 years 1 months ago
Direct Adaptive Algorithms for CT Reconstruction
This work concerns with linear and spatially-adaptive direct reconstruction algorithms for 2-D parallel-beam transmission tomography, extending the Filtered Back-Projection (FBP)....
Joseph Shtok, Michael Elad, Michael Zibulevsky
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 11 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
AINA
2007
IEEE
16 years 20 days ago
Depth-Latency Tradeoffs in Multicast Tree Algorithms
The construction of multicast trees is complicated by the need to balance a number of important objectives, including: minimizing latencies, minimizing depth/hops, and bounding th...
Michael T. Helmick, Fred S. Annexstein
ICC
2007
IEEE
126views Communications» more  ICC 2007»
16 years 19 days ago
A New Initial Codebook Algorithm for Learning Vector Quantization
—In this paper, a new sorting initial codebook algorithm for learning vector quantization (LVQ) based upon selforganizing feature maps (SOM) has been proposed. The basic idea is ...
Hongsong Li, Baohua Xu
CORR
2011
Springer
164views Education» more  CORR 2011»
15 years 1 months ago
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
Iterative reweighted algorithms, as a class of algorithms for sparse signal recovery, have been found to have better performance than their non-reweighted counterparts. However, f...
Zhilin Zhang, Bhaskar D. Rao