1971 search results - page 326 / 395 » A clustering method that uses lossy aggregation of data |
102
Voted
BMCBI
2008
15 years 20 days 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...
136
Voted
ICCV
2007
IEEE
16 years 2 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...
105
Voted
WWW
2010
ACM
15 years 7 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...
KDD
2009
ACM
15 years 7 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 ...
172
Voted
AIM
2011
14 years 4 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...