785 search results - page 31 / 157 » Semi-Supervised Dimensionality Reduction |
126
Voted
CIT
2006
Springer
15 years 7 months ago
2006
Springer
Hash functions play the most important role in various cryptologic applications, ranging from data integrity checking to digital signatures. Our goal is to introduce a new hash fu...
128
click to vote
BMCBI
2010
15 years 3 months ago
2010
Background: It is hypothesized that common, complex diseases may be due to complex interactions between genetic and environmental factors, which are difficult to detect in high-di...
132
Voted
IJON
2010
15 years 1 months ago
2010
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
164
click to vote
SIAMSC
2008
15 years 3 months ago
2008
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
164
Voted
DEXAW
2007
IEEE
15 years 7 months ago
2007
IEEE
Peers and data objects in the Hybrid Overlay Network (HON) are organized in a ndimensional feature space. As the dimensionality increases, peers and data objects become sparse and ...