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» Accelerating Large Graph Algorithms on the GPU Using CUDA
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CGF
2010
82views more  CGF 2010»
14 years 11 months ago
Poisson-Based Weight Reduction of Animated Meshes
While animation using barycentric coordinates or other automatic weight assignment methods has become a popular method for shape deformation, the global nature of the weights limi...
Eric Landreneau, Scott Schaefer
TVCG
2010
165views more  TVCG 2010»
14 years 6 months ago
Binary Mesh Partitioning for Cache-Efficient Visualization
Abstract--One important bottleneck when visualizing large data sets is the data transfer between processor and memory. Cacheaware (CA) and cache-oblivious (CO) algorithms take into...
Marc Tchiboukdjian, Vincent Danjean, Bruno Raffin
PDP
2006
IEEE
15 years 5 months ago
Parallel Adaptive Technique for Computing PageRank
Re-ranking the search results using PageRank is a well-known technique used in modern search engines. Running an iterative algorithm like PageRank on a large web graph consumes bo...
Arnon Rungsawang, Bundit Manaskasemsak
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 3 days ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
PRL
2010
188views more  PRL 2010»
14 years 10 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan