879 search results - page 28 / 176 » Forecasting high-dimensional data |
ICCV
2007
IEEE
15 years 11 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...
90
Voted
ICDE
2007
IEEE
15 years 4 months ago
2007
IEEE
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
VISSYM
2004
14 years 11 months ago
2004
We propose a flexible approach for the visualization of large, high-dimensional datasets. The raw, highdimensional data is mapped into an abstract 3D distance space using the Fast...
112
Voted
KDD
2008
ACM
15 years 10 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
EDBT
2006
ACM
15 years 9 months ago
2006
ACM
In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-...