1971 search results - page 326 / 395 » A clustering method that uses lossy aggregation of data |
169
click to vote
BMCBI
2008
15 years 6 months ago
2008
Background: Population structure analysis is important to genetic association studies and evolutionary investigations. Parametric approaches, e.g. STRUCTURE and L-POP, usually ass...
226
click to vote
ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
174
click to vote
WWW
2010
ACM
16 years 1 months ago
2010
ACM
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
153
click to vote
KDD
2009
ACM
16 years 1 months ago
2009
ACM
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
259
click to vote
AIM
2011
14 years 10 months ago
2011
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...