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ICCV
2005
IEEE
14 years 1 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»
13 years 9 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
14 years 2 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»
13 years 7 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
13 years 7 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