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WCNC
2010
IEEE
13 years 11 months ago
Performance of a Cooperative Network Using Rate Adaptation and Cooperative Combining
—The performance of a cooperative network with Cooperative Maximal Ratio Combining (C-MRC) is analyzed. To this end, we propose a heuristic approximation to the total received SN...
Prasanna Kalansuriya, Madushanka Soysa, Chintha Te...
NC
1998
101views Neural Networks» more  NC 1998»
13 years 9 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
3DIM
2003
IEEE
13 years 11 months ago
Approximate K-D Tree Search for Efficient ICP
A method is presented that uses an Approximate Nearest Neighbor method for determining correspondences within the Iterative Closest Point Algorithm. The method is based upon the k...
Michael A. Greenspan, Mike Yurick
CVPR
2005
IEEE
14 years 9 months ago
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
Hongcheng Wang, Narendra Ahuja