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» A Method for Dynamic Clustering of Data
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TKDE
2012
245views Formal Methods» more  TKDE 2012»
13 years 9 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
MICCAI
2004
Springer
16 years 7 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...
ICCV
2009
IEEE
15 years 4 months ago
The Normalized Subspace Inclusion: Robust clustering of motion subspaces
Perceiving dynamic scenes of rigid bodies, through affine projections of moving 3D point clouds, boils down to clustering the rigid motion subspaces supported by the points' ...
Nuno Pinho da Silva, João Paulo Costeira
HPDC
2006
IEEE
16 years 20 days ago
Improving I/O Performance of Clustered Storage Systems by Adaptive Request Distribution
We develop an adaptive load distribution protocol for logical volume I/O workload in clustered storage systems. It exploits data redundancy among decentralized storage servers to ...
Changxun Wu, Randal C. Burns
TASLP
2011
15 years 1 months ago
Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment
—This paper presents a blind source separation method for convolutive mixtures of speech/audio sources. The method can even be applied to an underdetermined case where there are ...
Hiroshi Sawada, Shoko Araki, Shoji Makino