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CSDA
2008
94views more  CSDA 2008»
15 years 6 months ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
SMA
1995
ACM
176views Solid Modeling» more  SMA 1995»
15 years 10 months ago
Incremental algorithms for collision detection between solid models
: Fast and accurate collision detection between general solid models is a fundamental problem in solid modeling, robotics, animation and computer-simulated environments. Most of th...
Madhav K. Ponamgi, Dinesh Manocha, Ming C. Lin
CSC
2006
15 years 8 months ago
Applying Sparse Matrix Solvers to a Glacial Ice Sheet Model
- Two software packages for solving sparse systems of linear equations, SuperLU and UMFPACK, have been integrated with the University of Maine Ice Sheet Model for predicting the fo...
Rodney Jacobs, James Fastook, Aitbala Sargent
BMCBI
2008
159views more  BMCBI 2008»
15 years 6 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...