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PODS
2005
ACM
115views Database» more  PODS 2005»
15 years 9 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
MICCAI
2004
Springer
15 years 10 months ago
Clustering Fiber Traces Using Normalized Cuts
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to cre...
Anders Brun, Hans Knutsson, Hae-Jeong Park, Martha...
74
Voted
PICS
2003
14 years 11 months ago
A Psychophysical Experiment Evaluating the Color Accuracy of Several Multispectral Image Capture Techniques
A paired comparison psychophysical experiment was performed to evaluate the quality of several imaging techniques. Images rendered for an LCD were compared with two- and three-dim...
Ellen A. Day, Roy S. Berns, Lawrence A. Taplin, Fr...
ECIR
2006
Springer
14 years 11 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov
79
Voted
IMSCCS
2006
IEEE
15 years 3 months ago
Clustering of Gene Expression Data: Performance and Similarity Analysis
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
Longde Yin, Chun-Hsi Huang