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» Model selection by sequentially normalized least squares
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SMA
2008
ACM
162views Solid Modeling» more  SMA 2008»
13 years 7 months ago
Fast and robust bootstrap
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
Matias Salibian-Barrera, Stefan Van Aelst, Gert Wi...
CIKM
2011
Springer
12 years 7 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
BMCBI
2008
124views more  BMCBI 2008»
13 years 7 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li
WSC
2008
13 years 10 months ago
Restricted subset selection
This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances in order that the final subset of selected populations satisfies ...
E. Jack Chen
DAGM
2007
Springer
13 years 11 months ago
Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination
Abstract In this paper we extend a multi-camera model for simultaneous estimation of 3d position, normals, and 3d motion of surface patches [17] to be able to handle brightness cha...
Tobias Schuchert, Hanno Scharr