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ICML
2006
IEEE
14 years 8 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
ICPR
2008
IEEE
14 years 8 months ago
A practical method to reducing metal artifact for dental CT scanners
An integrated and effective metal artifact reduction method named Metal Erasing (ME) especially suited to dental applications is proposed. Layout of metals is identified as metal-...
Atsushi Katsumata, Koichi Ito, Koji Kobayashi, Tak...
ICASSP
2009
IEEE
13 years 11 months ago
Tampering identification using Empirical Frequency Response
With the widespread popularity of digital images and the presence of easy-to-use image editing software, content integrity can no longer be taken for granted, and there is a stron...
Wei-Hong Chuang, Ashwin Swaminathan, Min Wu
DISOPT
2008
93views more  DISOPT 2008»
13 years 7 months ago
Exploiting planarity in separation routines for the symmetric traveling salesman problem
At present, the most successful approach to solving large-scale instances of the Symmetric Traveling Salesman Problem to optimality is branch-and-cut. The success of branch-and-cu...
Adam N. Letchford, Nicholas A. Pearson
BMCBI
2010
106views more  BMCBI 2010»
13 years 7 months ago
A novel approach for haplotype-based association analysis using family data
Background: Haplotype-based approaches have been extensively studied for case-control association mapping in recent years. It has been shown that haplotype methods can provide mor...
Yixuan Chen, Xin Li, Jing Li