1301 search results - page 8 / 261 » Default Clustering from Sparse Data Sets |
TSP
2008
13 years 7 months ago
2008
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
3DPVT
2004
IEEE
13 years 11 months ago
2004
IEEE
Looking around in our every day environment, many of the encountered objects are specular to some degree. Actively using this fact when reconstructing objects from image sequences...