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» Accelerating Large Graph Algorithms on the GPU Using CUDA
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CGF
2010
82views more  CGF 2010»
13 years 5 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»
13 years 5 days 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
13 years 11 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»
14 years 5 months 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»
13 years 3 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