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ICCV
2005
IEEE
15 years 5 months ago
Image Based Regression Using Boosting Method
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...
LREC
2008
130views Education» more  LREC 2008»
15 years 1 months ago
Detecting Co-Derivative Documents in Large Text Collections
We have analyzed the SPEX algorithm by Bernstein and Zobel (2004) for detecting co-derivative documents using duplicate n-grams. Although we totally agree with the claim that not ...
Jan Pomikálek, Pavel Rychlý
ICPR
2008
IEEE
15 years 6 months ago
Improved percolation-based method for crack detection in concrete surface images
This paper presents a highly accurate and efficient method for crack detection using percolation-based image processing. The detection of cracks in concrete surfaces during the ma...
Tomoyuki Yamaguchi, Shuji Hashimoto
BMCBI
2006
187views more  BMCBI 2006»
14 years 11 months ago
Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
Harvey J. Motulsky, Ronald E. Brown
SAC
2006
ACM
14 years 11 months ago
A new method of generating synchronizable test sequences that detect output-shifting faults based on multiple UIO sequences
The objective of testing is to determine the conformance between a system and its specification. When testing distributed systems, the existence of multiple testers brings out the...
Kai Chen, Fan Jiang, Chuan-dong Huang