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» On the Performance of Clustering in Hilbert Spaces
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103
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ISBI
2011
IEEE
14 years 1 months ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
88
Voted
ICWN
2008
14 years 11 months ago
A Finite Queue Model Analysis of PMRC-based Wireless Sensor Networks
In our previous work, a highly scalable and faulttolerant network architecture, the Progressive Multi-hop Rotational Clustered (PMRC) structure, is proposed for constructing large...
Qiaoqin Li, Mei Yang, Hongyan Wang, Yingtao Jiang,...
75
Voted
ICCV
2005
IEEE
16 years 4 days ago
Dynamic Measurement Clustering to Aid Real Time Tracking
Many parameter estimation problems admit divide and conquer or partitioning techniques in order to reduce a highdimensional task into several reduced-dimension problems. These tec...
Christopher Kemp, Tom Drummond
107
Voted
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
15 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
79
Voted
JIPS
2007
103views more  JIPS 2007»
14 years 10 months ago
Feature Extraction of Concepts by Independent Component Analysis
: Semantic clustering is important to various fields in the modern information society. In this work we applied the Independent Component Analysis method to the extraction of the f...
Altangerel Chagnaa, Cheolyoung Ock, Chang Beom Lee...