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» The Sampling Analysis Pattern
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95
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NIPS
2001
15 years 3 months ago
Sampling Techniques for Kernel Methods
We propose randomized techniques for speeding up Kernel Principal Component Analysis on three levels: sampling and quantization of the Gram matrix in training, randomized rounding...
Dimitris Achlioptas, Frank McSherry, Bernhard Sch&...
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 2 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
BMCBI
2006
113views more  BMCBI 2006»
15 years 2 months ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida
103
Voted
APPROX
2006
Springer
107views Algorithms» more  APPROX 2006»
15 years 6 months ago
A Fast Random Sampling Algorithm for Sparsifying Matrices
We describe a simple random-sampling based procedure for producing sparse matrix approximations. Our procedure and analysis are extremely simple: the analysis uses nothing more th...
Sanjeev Arora, Elad Hazan, Satyen Kale
99
Voted
GRAPHICSINTERFACE
2007
15 years 3 months ago
Optimized tile-based texture synthesis
One significant problem in tile-based texture synthesis is the presence of conspicuous seams in the tiles. The reason is that the sample patches employed as primary patterns of t...
Weiming Dong, Ning Zhou, Jean-Claude Paul