45 search results - page 8 / 9 » Similarity learning via dissimilarity space in CBIR |
ISBI
2011
IEEE
12 years 9 months ago
2011
IEEE
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...
ICML
2002
IEEE
14 years 6 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
CIKM
2009
Springer
13 years 10 months ago
2009
Springer
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
CVPR
2009
IEEE
14 years 2 days ago
2009
IEEE
Most research on image decomposition, e.g. image segmentation and image parsing, has predominantly focused on the low-level visual clues within single image and neglected the cont...
BMCBI
2006
13 years 5 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...