502 search results - page 6 / 101 » Sparse Subspace Clustering |
CLUSTER
2008
IEEE
15 years 4 months ago
2008
IEEE
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
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' ...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
TKDE
2010
14 years 4 months ago
2010
The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...