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» An Improved Parallel Thinning Algorithm
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PVM
2005
Springer
14 years 1 months ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
EUROPAR
2000
Springer
13 years 11 months ago
Cache Remapping to Improve the Performance of Tiled Algorithms
With the increasing processing power, the latency of the memory hierarchy becomes the stumbling block of many modern computer architectures. In order to speed-up the calculations, ...
Kristof Beyls, Erik H. D'Hollander
JMLR
2002
106views more  JMLR 2002»
13 years 7 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
TJS
2008
113views more  TJS 2008»
13 years 7 months ago
Improving the parallelism of iterative methods by aggressive loop fusion
Abstract. Traditionally, loop nests are fused only when the data dependences in the loop nests are not violated. This paper presents a new loop fusion algorithm that is capable of ...
Jingling Xue, Minyi Guo, Daming Wei
VISUALIZATION
2005
IEEE
14 years 1 months ago
Curve-Skeleton Applications
Curve-skeletons are thinned 1D representations of 3D objects useful for many visualization tasks including virtual navigation, reduced-model formulation, visualization improvement...
Nicu D. Cornea, Deborah Silver, Patrick Min