363 search results - page 50 / 73 » Locality Sensitive Discriminant Analysis |
104
Voted
ICS
2005
Tsinghua U.
15 years 6 months ago
2005
Tsinghua U.
Previous studies have shown that array regrouping and structure splitting significantly improve data locality. The most effective technique relies on profiling every access to eve...
84
Voted
BMCBI
2008
15 years 18 days ago
2008
Background: The prediction of conformational B-cell epitopes is one of the most important goals in immunoinformatics. The solution to this problem, even if approximate, would help...
102
Voted
BMCBI
2006
15 years 16 days ago
2006
Background: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross b...
120
Voted
BMCBI
2011
14 years 7 months ago
2011
Background: The accurate determination of orthology and inparalogy relationships is essential for comparative sequence analysis, functional gene annotation and evolutionary studie...
133
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...