2018 search results - page 87 / 404 » Magnitude-preserving ranking algorithms |
190
click to vote
BMCBI
2010
15 years 6 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
203
click to vote
ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
182
click to vote
MCS
2005
Springer
15 years 11 months ago
2005
Springer
Mixed Group Ranks is a parametric method for combining rank based classi ers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...
159
click to vote
SIGMOD
2001
ACM
16 years 6 months ago
2001
ACM
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...
139
click to vote
ESANN
2008
15 years 7 months ago
2008
We present an algorithm which partitions a data set in two parts with equal size and experimentally nearly the same distribution measured through the likelihood of a Parzen kernel ...