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» The Kernel Least-Mean-Square Algorithm
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121
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ARC
2008
Springer
112views Hardware» more  ARC 2008»
15 years 5 months ago
Optimal Unroll Factor for Reconfigurable Architectures
Abstract. Loops are an important source of optimization. In this paper, we address such optimizations for those cases when loops contain kernels mapped on reconfigurable fabric. We...
Ozana Silvia Dragomir, Elena Moscu Panainte, Koen ...
119
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CMPB
2010
96views more  CMPB 2010»
15 years 3 months ago
Towards real-time radiation therapy: GPU accelerated superposition/convolution
We demonstrate the use of highly parallel graphics processing units (GPUs) to accelerate the Superposition/Convolution (S/C) algorithm to interactive rates while reducing the numbe...
Robert Jacques, Russell Taylor, John Wong, Todd Mc...
146
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PAMI
2010
337views more  PAMI 2010»
15 years 2 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
158
Voted
SIAMSC
2010
159views more  SIAMSC 2010»
14 years 10 months ago
The Fast Generalized Gauss Transform
The fast Gauss transform allows for the calculation of the sum of N Gaussians at M points in O(N + M) time. Here, we extend the algorithm to a wider class of kernels, motivated by ...
Marina Spivak, Shravan K. Veerapaneni, Leslie Gree...
124
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DIS
2006
Springer
15 years 7 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann