2018 search results - page 133 / 404 » Magnitude-preserving ranking algorithms |
193
click to vote
SIGIR
2012
ACM
13 years 8 months ago
2012
ACM
Users increasingly rely on their mobile devices to search local entities, typically businesses, while on the go. Even though recent work has recognized that the ranking signals in...
165
click to vote
ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
190
click to vote
EDBT
2010
ACM
16 years 1 months ago
2010
ACM
Information networks are ubiquitous in many applications and analysis on such networks has attracted significant attention in the academic communities. One of the most important ...
165
click to vote
WEBI
2009
Springer
16 years 28 days ago
2009
Springer
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
186
click to vote
CIKM
2009
Springer
15 years 11 months ago
2009
Springer
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...