310 search results - page 7 / 62 » High-Dimensional Similarity Joins |
ECML
2006
Springer
14 years 8 days ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
INFOVIS
2003
IEEE
14 years 1 months ago
2003
IEEE
Large numbers of dimensions not only cause clutter in multidimensional visualizations, but also make it difficult for users to navigate the data space. Effective dimension manage...
HAIS
2009
Springer
14 years 1 months ago
2009
Springer
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
CVPR
2001
IEEE
14 years 10 months ago
2001
IEEE
Particle filters have proven to be an effective tool for visual tracking in non-gaussian, cluttered environments. Conventional particle filters however do not scale to the problem...