1605 search results - page 212 / 321 » Metric Learning to Rank |
235
click to vote
SIGMOD
2009
ACM
16 years 4 months ago
2009
ACM
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...
146
click to vote
WSDM
2009
ACM
15 years 10 months ago
2009
ACM
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
153
click to vote
ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
113
click to vote
MFCS
2007
Springer
15 years 10 months ago
2007
Springer
A framework for analyzing the computational capabilities and the limitations of the evolutionary process of random change guided by selection was recently introduced by Valiant [V...
149
click to vote
COMPSAC
2002
IEEE
15 years 9 months ago
2002
IEEE
Large multi-platform, multi-million lines of codes software systems evolve to cope with new platform or to meet user ever changing needs. While there has been several studies focu...