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151
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BMCBI
2004
132views more  BMCBI 2004»
15 years 4 months ago
Two-stage normalization using background intensities in cDNA microarray data
Background: In the microarray experiment, many undesirable systematic variations are commonly observed. Normalization is the process of removing such variation that affects the me...
Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
CVPR
1998
IEEE
16 years 7 months ago
Clustering Appearances of 3D Objects
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the space of all images and partitions the images into sets that form smooth and par...
Ronen Basri, Dan Roth, David W. Jacobs
140
Voted
ICIP
2009
IEEE
16 years 6 months ago
Segmentation Of Trabecular Bones From Vertebral Bodies In Volumetric Ct Spine Images
We present a 3D segmentation technique of trabecular (cancellous) bones in CT images of Vertebral bodies (VBs). In order to be used for Bone Mineral Density (BMD) measurements, th...
97
Voted
DEXA
2007
Springer
140views Database» more  DEXA 2007»
15 years 11 months ago
Clustering-Based K-Anonymisation Algorithms
Abstract. K-anonymisation is an approach to protecting private information contained within a dataset. Many k-anonymisation methods have been proposed recently and one class of suc...
Grigorios Loukides, Jianhua Shao
130
Voted
ECAI
2004
Springer
15 years 8 months ago
Instance-Based Prediction with Guaranteed Confidence
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Eyke Hüllermeier