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DIS
2006
Springer
15 years 7 months ago
A Novel Framework for Discovering Robust Cluster Results
We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various cl...
Hye-Sung Yoon, Sang-Ho Lee, Sung-Bum Cho, Ju Han K...
136
Voted
MICCAI
2010
Springer
15 years 1 months ago
Efficient MR Image Reconstruction for Compressed MR Imaging
In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitti...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
137
Voted
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
15 years 1 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
ICIP
2009
IEEE
15 years 1 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler
302
Voted
ICASSP
2011
IEEE
15 years 1 months ago
Non-flat clustering whith alpha-divergences
The scope of the well-known k-means algorithm has been broadly extended with some recent results: first, the k- means++ initialization method gives some approximation guarantees...
Olivier Schwander, Frank Nielsen