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VMV
2001
303views Visualization» more  VMV 2001»
15 years 6 months ago
Extracting Cylinders in Full 3D Data Using a Random Sampling Method and the Gaussian Image
This paper presents a new method for extracting cylinders from an unorganized set of 3D points. The originality of this approach is to separate the extraction problem into two dis...
Thomas Chaperon, François Goulette
ML
2002
ACM
129views Machine Learning» more  ML 2002»
15 years 4 months ago
Model Selection for Small Sample Regression
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
BMCBI
2006
86views more  BMCBI 2006»
15 years 5 months ago
The impact of sample imbalance on identifying differentially expressed genes
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
Kun Yang, Jianzhong Li, Hong Gao
CORR
2010
Springer
94views Education» more  CORR 2010»
15 years 2 months ago
Segmented compressed sampling for analog-to-information conversion: Method and performance analysis
A new segmented compressed sampling (CS) method for analog-to-information conversion (AIC) is proposed. An analog signal measured by a number of parallel branches of mixers and int...
Omid Taheri, Sergiy A. Vorobyov
ECCV
1998
Springer
16 years 6 months ago
Demosaicing: Image Reconstruction from Color CCD Samples
Abstract. A simplified color image formation model is used to construct an algorithm for image reconstruction from CCD sensors samples. The proposed method involves two successive ...
Ron Kimmel