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CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
16 years 12 months ago
Sparse Subspace Clustering
We propose a method based on sparse representation (SR) to cluster data drawn from multiple low-dimensional linear or affine subspaces embedded in a high-dimensional space. Our ...
Ehsan Elhamifar, René Vidal
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
15 years 11 months ago
Manifold Clustering of Shapes
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
Dragomir Yankov, Eamonn J. Keogh
EXPDB
2006
ACM
15 years 11 months ago
Performance Study of Rollout for Multi Dimensional Clustered Tables in DB2
In data warehousing applications, the ability to efficiently delete large chunks of data from a table is very important. This feature is also known as Rollout. Rollout is generall...
Bishwaranjan Bhattacharjee
SCIA
2005
Springer
166views Image Analysis» more  SCIA 2005»
15 years 10 months ago
Clustering Based on Principal Curve
Clustering algorithms are intensively used in the image analysis field in compression, segmentation, recognition and other tasks. In this work we present a new approach in clusteri...
Ioan Cleju, Pasi Fränti, Xiaolin Wu
INFOCOM
2003
IEEE
15 years 10 months ago
An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks
— A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for gathering data in a variety of environments. The data ...
Seema Bandyopadhyay, Edward J. Coyle