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» Efficient Discovery of Confounders in Large Data Sets
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ECCV
2002
Springer
14 years 10 months ago
Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration
We investigate in this article the rigid registration of large sets of points, generally sampled from surfaces. We formulate this problem as a general Maximum-Likelihood (ML) estim...
Sébastien Granger, Xavier Pennec
SIGMOD
2009
ACM
201views Database» more  SIGMOD 2009»
14 years 9 months ago
Cost based plan selection for xpath
We present a complete XPath cost-based optimization and execution framework and demonstrate its effectiveness and efficiency for a variety of queries and datasets. The framework i...
Haris Georgiadis, Minas Charalambides, Vasilis Vas...
TSP
2010
13 years 3 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
JCB
2008
94views more  JCB 2008»
13 years 8 months ago
Prioritize and Select SNPs for Association Studies with Multi-Stage Designs
Large-scale whole genome association studies are increasingly common, due in large part to recent advances in genotyping technology. With this change in paradigm for genetic studi...
Jing Li
PAMI
2006
187views more  PAMI 2006»
13 years 8 months ago
An Experimental Study on Pedestrian Classification
Detecting people in images is key for several important application domains in computer vision. This paper presents an in-depth experimental study on pedestrian classification; mul...
Stefan Munder, Dariu M. Gavrila