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JMIV
2008
56views more  JMIV 2008»
14 years 10 months ago
Sampling and Reconstruction of Surfaces and Higher Dimensional Manifolds
We present new sampling theorems for surfaces and higher dimensional manifolds. The core of the proofs resides in triangulation results for manifolds with boundary, not necessarily...
Emil Saucan, Eli Appleboim, Yehoshua Y. Zeevi
ML
2002
ACM
129views Machine Learning» more  ML 2002»
14 years 9 months ago
Model Selection for Small Sample Regression
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
CSDA
2010
108views more  CSDA 2010»
14 years 10 months ago
Assessing when a sample is mostly normal
The use of trimming procedures constitutes a natural approach to robustifying statistical methods. This is the case of goodness-of-fit tests based on a distance, which can be modi...
Pedro C. Alvarez-Esteban, Eustasio del Barrio, Jua...
PAMI
2010
192views more  PAMI 2010»
14 years 8 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens
SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
14 years 23 days ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu